Updated list of Federated Learning papers as of March 07, 2026.
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- Coverage: Papers from 2016 to present
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- Large Language Models | Federated Learning | Backdoor Learning | Machine Unlearning
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This section lists papers with available code (sorted by publication date). For the complete paper list, visit the Research Papers Page.
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| No. | Title | Authors | Publish Date | Venue | Code |
|---|---|---|---|---|---|
| 1 | PTOPOFL: Privacy-Preserving Personalised Federated Learning via Persistent Homology | Kelly L. Vomo-Donfack, Adryel Hoszu, Grégory GINOT, Ian Morilla | 2026-03-04 | ArXiv.org |  |
| 2 | An Adaptive Federated Learning Algorithm with Attenuated Memory on Non-IID and Long-Tail Data | Yu Wu, Haijun Yang, Harris Wu, C. Han Yang | 2026-03-02 | INFORMS journal on computing |  |
| 3 | FedNSAM:Consistency of Local and Global Flatness for Federated Learning | Junkang Liu, Fanhua Shang, Ye Tian, Hongying Liu, Yuanyuan Liu | 2026-02-27 | arXiv (Cornell University) |  |
| 4 | FedVG: Gradient-Guided Aggregation for Enhanced Federated Learning | Alina Devkota, Jacob Thrasher, Donald Adjeroh, Binod Bhattarai, Prashnna Gyawali | 2026-02-24 | arXiv (Cornell University) |  |
| 5 | SAGE: Sustainable and green energy-aware client selection for federated learning in IoT | Martina Savoia, Ciro Della Bruna, Ciro D’Addio, Francesco Piccialli | 2026-02-23 | Applied Energy |  |
| 6 | FedHENet: A Frugal Federated Learning Framework for Heterogeneous Environments | Alejandro Dopico-Castro, Óscar Fontenla-Romero, Bertha Guijarro‐Berdiñas, Amparo Alonso-Betanzos, Iván Pérez Digón | 2026-02-13 | ArXiv.org |  |
| 7 | SelfDistillCore: a federated learning framework with sparse updates and historical knowledge integration | Duy-Dong Le, Tuong-Nguyen Huynh, Minh-Son Dao, Anh-Khoa N. Tran, Pham The Bao | 2026-02-13 | PeerJ Computer Science |  |
| 8 | TIP: Resisting Gradient Inversion via Targeted Interpretable Perturbation in Federated Learning | Jianhua Wang, Yinlin Su | 2026-02-12 | arXiv (Cornell University) |  |
| 9 | DCInject: Persistent Backdoor Attacks via Frequency Manipulation in Personal Federated Learning | Nahom Birhan, Daniel Wesego, Dereje Shenkut, Frank Liu, Daniel Takabi | 2026-02-11 | ArXiv.org |  |
| 10 | Dynamic federated learning: coping with the challenge of label noise in real-time network data | Chengtian Ouyang, Jinjin Wan, Donglin Zhu, Gangqiang Hu, Changjun Zhou, Zhiquan Liu, Taiyong Li | 2026-02-11 | Journal of King Saud University - Computer and Information Sciences |  |
| 11 | TaxFL: Federated Learning and Federated Graph Intelligence for Cross-Border Tax Compliance | Pedro Augusto Frantz | 2026-02-10 | Zenodo (CERN European Organization for Nuclear Research) |  |
| 12 | Med-MMFL: A Multimodal Federated Learning Benchmark in Healthcare | Aavash Chhetri, Bibek Niroula, Pratik Shrestha, Yash Raj Shrestha, Lesley Anderson, Prashnna Gyawali, Loris Bazzani, Bin... | 2026-02-04 | ArXiv.org |  |
| 13 | A secure cross-domain federated learning scheme based on blockchain fair payment | Qiuxian Li, Dawen Xia, Youliang Tian, Quanxing Zhou | 2026-02-04 | PeerJ Computer Science |  |
| 14 | Standardized Methods and Recommendations for Green Federated Learning | Austin Tapp, H Roth, Ziyue Xu, Abhijeet Parida, Hareem Nisar, Marius George Linguraru | 2026-01-30 | ArXiv.org |  |
| 15 | FLEET: A Federated Learning Emulation and Evaluation Testbed for Holistic Research | Osama Abu Hamdan, Hao Che, Engin Arslan, Md. Arifuzzaman | 2026-01-09 | OpenAlex |  |
| 16 | SmartFLow: A Communication-Efficient SDN Framework for Cross-Silo Federated Learning | Osama Abu Hamdan, Hao Che, Engin Arslan, Md. Arifuzzaman | 2026-01-09 | OpenAlex |  |
| 17 | FedKDX: Federated Learning with Negative Knowledge Distillation for Enhanced Healthcare AI Systems | Quang-Tu Pham, Vu Hoang Dieu, Dinh-Dat Pham, Huy Hieu Pham | 2026-01-08 | arXiv |  |
| 18 | Beyond Denial-of-Service: The Puppeteer's Attack for Fine-Grained Control in Ranking-Based Federated Learning | Zhihao Chen, Zirui Gong, Jianting Ning, Yanjun Zhang, Leo Yu Zhang | 2026-01-01 | ArXiv.org |  |
| 19 | Decentralized Trust for Space AI: Blockchain-Based Federated Learning Across Multi-Vendor LEO Satellite Networks | Elmahallawy, Mohamed, Akbarfam, Asma Jodeiri | 2025-12-09 | arXiv (Cornell University) |  |
| 20 | Improving Generalization in Federated Learning for Steady-State Visual Evoked Potential Classification and Its Application in Soft Gripper | Rao Wei, Changchun Hua, Jiannan Chen, Dianrui Mu, Jing Zhao | 2025-12-01 | IEEE Transactions on Neural Systems and Rehabilitation Engineering |  |
| 21 | The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods for Federated Learning | Akis Linardos, Sarthak Pati, Ujjwal Baid, Brandon Edwards, Patrick Foley, Kevin Ta, Verena Chung, Micah Sheller, Muhamma... | 2025-12-01 | Machine.Learning.for.Biomedical.Imaging. 3 (2025) |  |
| 22 | FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning | Yao, Yuan, Wang Li-xu, Wu, Jiaqi, Song Jin, Chen Si-min, Wang ZeHua, Tian Zijian, Chen, Wei, Li Huixia, Li, Xiaoxiao | 2025-11-27 | arXiv (Cornell University) |  |
| 23 | A Fast and Flat Federated Learning Method via Weighted Momentum and Sharpness-Aware Minimization | Li, Tianle, Huang Yongzhi, Jiang Linshan, Liu Chang, Xie Qi-peng, Du Wenfeng, Wang Lu, Wu, Kaishun | 2025-11-27 | Advances in Neural Information Processing Systems (NeurIPS 2025) |  |
| 24 | \textitFLARE: Adaptive Multi-Dimensional Reputation for Robust Client Reliability in Federated Learning | Younesi, Abolfazl, Kiss, Leon, Samani, Zahra Najafabadi, Poveda, Juan Aznar, Fahringer, Thomas | 2025-11-18 | arXiv (Cornell University) |  |
| 25 | Optimizing Quantum Federated Learning: Addressing non-IID data challenges with global data sharing in weighted model averaging and clustering-based parameter selection | Zhiqiang Guo, Jianbin Hu, Wenyu Yang, Yunqian Wang | 2025-11-14 | Physica Scripta |  |
| 26 | Foam Segmentation in Wastewater Treatment Plants: A Federated Learning Approach with Segment Anything Model 2 | Duman, Mehmet Batuhan, Carnero Alejandro, Martín, Cristian, Garrido Daniel, Diaz Manuel | 2025-11-11 | arXiv (Cornell University) |  |
| 27 | Curriculum Guided Personalized Subgraph Federated Learning | M.-S. Kang, Hogun Park | 2025-11-08 | OpenAlex |  |
| 28 | FLARE: Adaptive Multi-Dimensional Reputation for Robust Client Reliability in Federated Learning | Younesi, Abolfazl, Kiss, Leon, Samani, Zahra Najafabadi, Poveda, Juan Aznar, Fahringer, Thomas | 2025-11-01 | arXiv (Cornell University) | |
| 29 | FedMGP: Personalized Federated Learning with Multi-Group Text-Visual Prompts | Wang Wei Bo, Yanpeng Sun, Yu Wang, Xinyu Zhang, Zechao Li | 2025-11-01 | arXiv |  |
| 30 | FedRW: Efficient Privacy-Preserving Data Reweighting for Enhancing Federated Learning of Language Models | Ye, Pukang, Luo Junwei, Dong Xiao-lei, Yang Yun-bo | 2025-11-01 | arXiv (Cornell University) |  |
| 31 | DP-FedPGN: Finding Global Flat Minima for Differentially Private Federated Learning via Penalizing Gradient Norm | Junkang Liu, Yuxuan Tian, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Junchao Zhou, Daorui Ding | 2025-10-31 | arXiv |  |
| 32 | Accurate Target Privacy Preserving Federated Learning Balancing Fairness and Utility | Kangkang Sun, Jiayuan Wu, Minyi Guo, Jianhua Li, Jianwei Huang | 2025-10-30 | INFOCOM 2026 |  |
| 33 | FedDPGu: Adaptive Prompt-tuning with Built-in Unlearning for Federated Learning | Lishan Yang, Wei Emma Zhang, Ali Shakeri, Amin Beheshti, Weitong Chen, Jian Yang | 2025-10-30 | OpenAlex |  |
| 34 | FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning | Zhiqin Yang, Yonggang Zhang, Chenxin Li, Yiu-ming Cheung, Bo Han, Yixuan Yuan | 2025-10-23 | arXiv |  |
| 35 | CEPerFed: Communication-Efficient Personalized Federated Learning for Multi-Pulse MRI Classification | L. K. Li, Junbin Mao, Hanhe Lin, Xu Tian, Fang‐Xiang Wu, Jin Liu | 2025-10-20 | arXiv |  |
| 36 | RAIM: three-stage stackelberg game for hierarchical federated learning with reputation-aware incentive mechanism | Cuihua Zuo, Peihua Xu, Yong Song, Jianfeng Lu, Yuan Cao, Yuanman Li | 2025-10-02 | Research Square (Research Square) |  |
| 37 | Validation of Various Normalization Methods for Brain Tumor Segmentation: Can Federated Learning Overcome This Heterogeneity? | Jan Fiszer, Dominika Ciupek, Maciej Malawski | 2025-09-24 | Lecture notes in computer science |  |
| 38 | GradCAM-AE: A New Shield Defense against Poisoning Attacks on Federated Learning | Jingjing Zheng, Kai Li, Xin Yuan, Wei Ni, Eduardo Tovar, Özgür B. Akan | 2025-09-12 | ACM Transactions on Privacy and Security |  |
| 39 | PPFL: A Personalized Federated Learning Framework for Heterogeneous Population | Di Hao, Yi Yang, H. Ye, Xiangyu Chang | 2025-08-25 | INFORMS journal on computing |  |
| 40 | Privacy‐Preserving Crowd Counting via Quantum‐Enhanced Federated Learning | Chen Zhang, Jing’an Cheng, Qiang Zhou, Wenzhe Zhai, Mingliang Gao | 2025-07-28 | Expert Systems |  |
| 41 | Privacy Protection and Statistical Efficiency Trade-Off for Federated Learning | Haobo Qi, Feifei Wang, Hansheng Wang | 2025-07-15 | INFORMS journal on computing |  |
| 42 | S2FGL: Spatial Spectral Federated Graph Learning | Zihan Tan, Suyuan Huang, Guancheng Wan, Wenke Huang, He Li, Mang Ye | 2025-07-01 | arXiv |  |
| 43 | pFedMMA: Personalized Federated Fine-Tuning with Multi-Modal Adapter for Vision-Language Models | Sajjad Ghiasvand, Mahnoosh Alizadeh, Ramtin Pedarsani | 2025-07-01 | arXiv |  |
| 44 | BackFed: An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning | Thinh Dao, Dung Thuy Nguyen, Khoa D. Doan, Kok-Seng Wong | 2025-07-01 | arXiv |  |
| 45 | Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing | Zhufeng Lu, Chentao Jia, Ming Hu, Xiaofei Xie, Mingsong Chen | 2025-07-01 | arXiv |  |
| 46 | Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection | Rei Tamaru, Pei Li, Bin Ran | 2025-07-01 | arXiv |  |
| 47 | Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity | Qiao Xiao, Boqian Wu, Andrey Poddubnyy, Elena Mocanu, Phuong H. Nguyen, Mykola Pechenizkiy, Decebal Constantin Mocanu | 2025-06-01 | arXiv |  |
| 48 | FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation | Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni | 2025-06-01 | arXiv |  |
| 49 | FedShield-LLM: A Secure and Scalable Federated Fine-Tuned Large Language Model | Md Jueal Mia, M. Hadi Amini | 2025-06-01 | arXiv |  |
| 50 | Federated ADMM from Bayesian Duality | Thomas Möllenhoff, Siddharth Swaroop, Finale Doshi-Velez, Mohammad Emtiyaz Khan | 2025-06-01 | arXiv |  |
| 51 | Federated Learning Assisted Edge Caching Scheme Based on Lightweight Architecture DDPM | Xun Li, Qiong Wu, Pingyi Fan, Kezhi Wang, Nan Cheng, Khaled B. Letaief | 2025-06-01 | IEEE Networking Letters |  |
| 52 | HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark | Jianqing Zhang, Xinghao Wu, Yanbing Zhou, Xiaoting Sun, Qiqi Cai, Yang Liu, Yang Hua, Zhenzhe Zheng, Jian Cao, Qiang Yan... | 2025-06-01 | OpenAlex |  |
| 53 | Latency Optimization for Wireless Federated Learning in Multihop Networks | Shaba Shaon, Van-Dinh Nguyen, Dinh C. Nguyen | 2025-06-01 | IEEE Transactions on Vehicular Technology |  |
| 54 | Secure Multi-Key Homomorphic Encryption with Application to Privacy-Preserving Federated Learning | Jiahui Wu, Tiecheng Sun, Fucai Luo, Haiyan Wang, Weizhe Zhang | 2025-06-01 | arXiv |  |
| 55 | UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data | Sunny Gupta, Nikita Jangid, Amit Sethi | 2025-06-01 | arXiv |  |
| 56 | Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach | Hongqing Pan, Yanjun Zhang, Leo Yu Zhang, Scott D. Adams, Abbas Z. Kouzani, Suiyang Khoo | 2025-05-01 | OpenAlex |  |
| 57 | Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning | Mengmeng Chen, Xiaohu Wu, Qiqi Liu, Tiantian He, Yew-Soon Ong, Yaochu Jin, Qicheng Lao, Han Yu | 2025-05-01 | arXiv |  |
| 58 | The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning | Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li | 2025-05-01 | arXiv |  |
| 59 | Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections | Wei Zhuo, Zhaohuan Zhan, Ziduo Yang, Han Yu | 2025-05-01 | arXiv |  |
| 60 | Unlearning for Federated Online Learning to Rank: A Reproducibility Study | Yiling Tao, Shuyi Wang, Jiaxi Yang, Guido Zuccon | 2025-05-01 | arXiv |  |
| 61 | Multimodal Federated Learning With Missing Modalities through Feature Imputation Network | Pranav Poudel, Aavash Chhetri, Prashnna K. Gyawali, Georgios Leontidis, Binod Bhattarai | 2025-05-01 | Lecture notes in computer science |  |
| 62 | Defending the Edge: Representative-Attention for Mitigating Backdoor Attacks in Federated Learning | Chibueze Peace Obioma, Youcheng Sun, Mustafa A. Mustafa | 2025-05-01 | arXiv |  |
| 63 | DP-RTFL: Differentially Private Resilient Temporal Federated Learning for Trustworthy AI in Regulated Industries | Abhijit Talluri | 2025-05-01 | arXiv |  |
| 64 | A Federated Random Forest Solution for Secure Distributed Machine Learning | Alexandre Cotorobai, Jorge Miguel Silva, Jose Luis Oliveira | 2025-05-01 | arXiv |  |
| 65 | Mosaic: Data-Free Knowledge Distillation via Mixture-of-Experts for Heterogeneous Distributed Environments | Junming Liu, Yanting Gao, Siyuan Meng, Yifei Sun, Aoqi Wu, Yufei Jin, Yirong Chen, Ding Wang, Guosun Zeng | 2025-05-01 | arXiv |  |
| 66 | FedNolowe: A Normalized Loss-Based Weighted Aggregation Strategy for Robust Federated Learning in Heterogeneous Environments | Duy-Dong Le, Nguyen Huynh Tuong, Tran Anh Khoa, Minh-Son Dao, Pham The Bao | 2025-04-04 | bioRxiv (Cold Spring Harbor Laboratory) |  |
| 67 | Federated Learning for the pathogenicity annotation of genetic variants in multi-site clinical settings | Nigreisy Montalvo, Francisco Requena Silvente, Emidio Capriotti, Antonio Rausell | 2025-04-04 | medRxiv (Cold Spring Harbor Laboratory) |  |
| 68 | Soft-Label Caching and Sharpening for Communication-Efficient Federated Distillation | Kitsuya Azuma, Takayuki Nishio, Yuichi Kitagawa, Wakako Nakano, Takahito Tanimura | 2025-04-01 | arXiv |  |
| 69 | mixEEG: Enhancing EEG Federated Learning for Cross-subject EEG Classification with Tailored mixup | Xuan-Hao Liu, Bao-Liang Lu, Wei-Long Zheng | 2025-04-01 | arXiv |  |
| 70 | Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization | Shuai Gong, Chaoran Cui, Xiaolin Dong, Xiushan Nie, Lei Zhu, Xiaojun Chang | 2025-04-01 | arXiv |  |
| 71 | The More is not the Merrier: Investigating the Effect of Client Size on Federated Learning | Eleanor Wallach, Sage Siler, Jing Deng | 2025-04-01 | arXiv |  |
| 72 | POPri: Private Federated Learning using Preference-Optimized Synthetic Data | Charlie Hou, Mei-Yu Wang, Yige Zhu, Daniel Lazar, Giulia Fanti | 2025-04-01 | arXiv |  |
| 73 | Federated Spectral Graph Transformers Meet Neural Ordinary Differential Equations for Non-IID Graphs | Kishan Gurumurthy, Himanshu Pal, Charu Sharma | 2025-04-01 | arXiv |  |
| 74 | Achieving Distributive Justice in Federated Learning via Uncertainty Quantification | Alycia N. Carey, Xintao Wu | 2025-04-01 | arXiv |  |
| 75 | A Study on the Efficiency of Combined Reconstruction and Poisoning Attacks in Federated Learning | Christian Becker, José Antonio Peregrina, Frauke Beccard, Marisa Mohr, Christian Zirpins | 2025-03-20 | Journal of Data Science and Intelligent Systems | |
| 76 | Federated Semantic Learning for Privacy-preserving Cross-domain Recommendation | Ziang Lu, Lei Guo, Xu Yu, Zhiyong Cheng, Xiaohui Han, Lei Zhu | 2025-03-01 | arXiv |  |
| 77 | UltraFlwr -- An Efficient Federated Medical and Surgical Object Detection Framework | Yang Li, Soumya Snigdha Kundu, Maxence Boels, Toktam Mahmoodi, Sebastien Ourselin, Tom Vercauteren, Prokar Dasgupta, Jon... | 2025-03-01 | arXiv |  |
| 78 | TS-Inverse: A Gradient Inversion Attack Tailored for Federated Time Series Forecasting Models | Caspar Meijer, Jiyue Huang, Shreshtha Sharma, Elena Lazovik, Lydia Y. Chen | 2025-03-01 | arXiv |  |
| 79 | Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients | Xiuwen Fang, Mang Ye, Bo Du | 2025-03-01 |  |
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| 80 | Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions | Kasra Borazjani, Payam Abdisarabshali, Naji Khosravan, Seyyedali Hosseinalipour | 2025-03-01 | arXiv |  |
| 81 | Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch | Yijie Liu, Xinyi Shang, Yiqun Zhang, Yang Lu, Chen Gong, Jing-Hao Xue, Hanzi Wang | 2025-03-01 | arXiv |  |
| 82 | Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning | Yanbiao Ma, Wei Dai, Wenke Huang, Jiayi Chen | 2025-03-01 | 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) |  |
| 83 | Federated nnU-Net for Privacy-Preserving Medical Image Segmentation | Grzegorz Skorupko, Fotios Avgoustidis, Carlos Martín-Isla, Lidia Garrucho, Dimitri A. Kessler, Esmeralda Ruiz Pujadas, O... | 2025-03-01 | arXiv |  |
| 84 | Fair Federated Medical Image Classification Against Quality Shift via Inter-Client Progressive State Matching | Nannan Wu, Zhuo Kuang, Zengqiang Yan, Ping Wang, Li Yu | 2025-03-01 | arXiv |  |
| 85 | FedVSR: Towards Model-Agnostic Federated Learning in Video Super-Resolution | Ali Mollaahmadi Dehaghi, Hossein KhademSohi, Reza Razavi, Steve Drew, Mohammad Moshirpour | 2025-03-01 | arXiv |  |
| 86 | A Survey on Federated Fine-tuning of Large Language Models | Yebo Wu, Chunlin Tian, Jingguang Li, He Sun, Kahou Tam, Zhanting Zhou, Haicheng Liao, Zhijiang Guo, Li Li, Chengzhong Xu | 2025-03-01 | arXiv |  |
| 87 | FLIP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning | Dongping Liao, Xitong Gao, Yabo Xu, Chengzhong Xu | 2025-03-01 | arXiv |  |
| 88 | FAA-CLIP: Federated Adversarial Adaptation of CLIP | Yihang Wu, Ahmad Chaddad, Christian Desrosiers, Tareef Daqqaq, Reem Kateb | 2025-03-01 | arXiv |  |
| 89 | Dynamic Allocation Hypernetwork with Adaptive Model Recalibration for Federated Continual Learning | Xiaoming Qi, Jingyang Zhang, Huazhu Fu, Guanyu Yang, Shuo Li, Yueming Jin | 2025-03-01 | Information Processing in Medical Imaging(IPMI)2025 |  |
| 90 | Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection | Jiahao Xu, Zikai Zhang, Rui Hu | 2025-03-01 | 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) |  |
| 91 | Decentralized Personalization for Federated Medical Image Segmentation via Gossip Contrastive Mutual Learning | Jingyun Chen, Yading Yuan | 2025-03-01 | arXiv |  |
| 92 | BTFL: A Bayesian-based Test-Time Generalization Method for Internal and External Data Distributions in Federated learning | Yu Zhou, Bingyan Liu | 2025-03-01 | OpenAlex |  |
| 93 | FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data | Yuxia Sun, Ang Sun, Shin-Ying Pan, Zhixiao Fu, Jingcai Guo | 2025-02-11 | OpenAlex |  |
| 94 | Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning | Raghav Singhal, Kaustubh Ponkshe, Rohit Vartak, Lav R. Varshney, Praneeth Vepakomma | 2025-02-01 | arXiv |  |
| 95 | FedBM: Stealing Knowledge from Pre-trained Language Models for Heterogeneous Federated Learning | Meilu Zhu, Qiushi Yang, Zhifan Gao, Yixuan Yuan, Jun Liu | 2025-02-01 | Medical Image Analysis |  |
| 96 | Forgetting Any Data at Any Time: A Theoretically Certified Unlearning Framework for Vertical Federated Learning | Linian Wang, Leye Wang | 2025-02-01 | arXiv |  |
| 97 | PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning | Yu Feng, Yangli-ao Geng, Yifan Zhu, Zongfu Han, Xie Yu, Kaiwen Xue, Haoran Luo, Mengyang Sun, Guangwei Zhang, Meina Song | 2025-02-01 | OpenAlex |  |
| 98 | A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing | Guannan Lai, Yihui Feng, Xin Yang, Xiaoyu Deng, Hao Yu, Shuyin Xia, Guoyin Wang, Tianrui Li | 2025-01-08 | arXiv |  |
| 99 | Balanced coarse-to-fine federated learning for noisy heterogeneous clients | Longfei Han, Ying Zhai, Yanan Jia, Qiang Cai, Haisheng Li, Xiankai Huang | 2025-01-07 | Complex & Intelligent Systems |  |
| 100 | SoK: Benchmarking Poisoning Attacks and Defenses in Federated Learning | Heyi Zhang, Yule Liu, Xinlei He, Jun Wu, Tianshuo Cong, Xinyi Huang | 2025-01-01 | arXiv |  |
| 101 | Intrinsic Training Signals for Federated Learning Aggregation | Cosimo Fiorini, Matteo Mosconi, Pietro Buzzega, Riccardo Salami, Simone Calderara | 2025-01-01 | arXiv |  |
| 102 | Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning | Wenxuan Bao, Ruxi Deng, Ruizhong Qiu, Tianxin Wei, Hanghang Tong, Jingrui He | 2025-01-01 | arXiv |  |
| 103 | Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data | Duong M. Nguyen, Trong Nghia Hoang, Thanh Trung Huynh, Quoc Viet Hung Nguyen, Phi Le Nguyen | 2025-01-01 | arXiv |  |
| 104 | MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning | Lishan Yang, Wei Zhang, Quan Z. Sheng, Weitong Chen, Lina Yao, Weitong Chen, Ali Shakeri | 2025-01-01 | OpenAlex |  |
| 105 | OmniFed: A Modular Framework for Configurable Federated Learning from Edge to HPC | Sahil Tyagi, Andrei Cozma, Olivera Kotevska, Feiyi Wang | 2025-01-01 | SC Workshops |  |
| 106 | On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy | Zijian Wang, Wei Tong, Tingxuan Han, Haoyu Chen, Tianling Zhang, Yunlong Mao, Sheng Zhong | 2025-01-01 | arXiv |  |
| 107 | On the Out-of-Distribution Backdoor Attack for Federated Learning | Jin-Sen Xu, Zikai Zhang, Rui Hu | 2025-01-01 | OpenAlex |  |
| 108 | Optimized Local Updates in Federated Learning via Reinforcement Learning | Ali Murad, Bo Hui, Wei-Shinn Ku | 2025-01-01 | IJCNN |  |
| 109 | Optimizing Communication Efficiency through Training Potential in Multi-Modal Federated Learning | Yinghao Zhang, Jianxiong Guo, Xingjian Ding, Zhiqing Tang, Tian Wang, Weili Wu, Weijia Jia | 2025-01-01 | ACM Transactions on Internet Technology |  |
| 110 | Owen Sampling Accelerates Contribution Estimation in Federated Learning | Hossein KhademSohi, Hadi Hemmati, Jiayu Zhou, Steve Drew | 2025-01-01 | Frontiers in artificial intelligence and applications |  |
| 111 | Private Federated Learning using Preference-Optimized Synthetic Data | Charlie Hou, Mei-Yu Wang, Yige Zhu, Daniel Lazar, Giulia Fanti | 2025-01-01 | arXiv | |
| 112 | Robust Federated Learning against Noisy Clients via Masked Optimization | Xuefeng Jiang, Tian Wen, Zhiqin Yang, Lvhua Wu, Yufeng Chen, Sheng Sun, Yuwei Wang, Min Liu | 2025-01-01 | arXiv |  |
| 113 | UFGraphFR: Graph Federation Recommendation System based on User Text description features | Xudong Wang, Qingbo Hao, Xu Cheng, Yingyuan Xiao | 2025-01-01 | arXiv |  |
| 114 | Stones From Other Hills: Intrusion Detection in Statistical Heterogeneous IoT by Self-Labeled Personalized Federated Learning | Wenting Lu, Ayong Ye, Peixin Xiao, Yuanhuang Liu, Longjing Yang, Donglin Zhu, Zhiquan Liu | 2025-01-01 | IEEE Internet of Things Journal |  |
| 115 | Subgraph Federated Learning for Local Generalization | Sungwon Kim, Yoonho Lee, Yunhak Oh, Namkyeong Lee, Sukwon Yun, Junseok Lee, Sein Kim, Carl Yang, Chanyoung Park | 2025-01-01 | ICLR |  |
| 116 | TAP: Two-Stage Adaptive Personalization of Multi-task and Multi-Modal Foundation Models in Federated Learning | Seohyun Lee, Wenzhi Fang, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher G. Brinton | 2025-01-01 | arXiv |  |
| 117 | The Cost of Local and Global Fairness in Federated Learning | Yuying Duan, Gelei Xu, Yiyu Shi, Michael Lemmon | 2025-01-01 |  |
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| 118 | Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach | Dandan Liang, Jianing Zhang, Evan Chen, Zhe Li, Rui Li, Haibo Yang | 2025-01-01 | arXiv |  |
| 119 | Traceable Black-box Watermarks for Federated Learning | Jiahao Xu, Rui Hu, Olivera Kotevska, Zikai Zhang | 2025-01-01 | arXiv |  |
| 120 | Generalizable Reconstruction for Accelerating MR Imaging via Federated Learning With Neural Architecture Search | Ruoyou Wu, Cheng Li, Juan Zou, Xinfeng Liu, Hairong Zheng, Shanshan Wang | 2025-01-01 | IEEE Transactions on Medical Imaging |  |
| 121 | Uncertainty-Aware Label Refinement on Hypergraphs for Personalized Federated Facial Expression Recognition | Hu Ding, Yan Yan, Yang Lu, Jing-Hao Xue, Hanzi Wang | 2025-01-01 |  |
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| 122 | UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital Collaboration | Chung-ju Huang, Yuanpeng He, Xiao Han, Wenpin Jiao, Zhi Jin, Leye Wang | 2025-01-01 | arXiv |  |
| 123 | Zero-Shot Decentralized Federated Learning | Alessio Masano, Matteo Pennisi, Federica Proietto Salanitri, Concetto Spampinato, Giovanni Bellitto | 2025-01-01 | IJCNN |  |
| 124 | kMoL: an open-source machine and federated learning library for drug discovery | Romeo Cozac, Haris Hasic, Jun Jin Choong, Vincent Richard, Loic Beheshti, Cyrille Froehlich, Takuto Koyama, Shigeyuki Ma... | 2025-01-01 | Journal of Cheminformatics |  |
| 125 | sat-QFL: Secure Quantum Federated Learning for Low Orbit Satellites | Dev Gurung, Shiva Raj Pokhrel | 2025-01-01 | arXiv |  |
| 126 | Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction | Chuanting Zhang, Haixia Zhang, Shuping Dang, Basem Shihada, Mohamed-Slim Alouini | 2025-01-01 | IEEE Transactions on Cognitive Communications and Networking |  |
| 127 | GPT-FL: Generative Pre-trained Model-Assisted Federated Learning | Tuo Zhang, Tiantian Feng, Samiul Alam, Dimitrios Dimitriadis, Sunwoo Lee, Mi Zhang, Shrikanth S. Narayanan, Salman Avest... | 2025-01-01 | CVPR Workshops |  |
| 128 | Generalizable Federated Learning using Client Adaptive Focal Modulation | Tajamul Ashraf, Iqra Altaf Gillani | 2025-01-01 | arXiv |  |
| 129 | FedDLAD: A Federated Learning Dual-Layer Anomaly Detection Framework for Enhancing Resilience Against Backdoor Attacks | Binbin Ding, Penghui Yang, Sheng-Jun Huang | 2025-01-01 | OpenAlex |  |
| 130 | A New One-Shot Federated Learning Framework for Medical Imaging Classification with Feature-Guided Rectified Flow and Knowledge Distillation | Yufei Ma, Hanwen Zhang, Qiya Yang, Guibo Luo, Yuesheng Zhu | 2025-01-01 | Frontiers in artificial intelligence and applications |  |
| 131 | Allosteric Feature Collaboration for Model-Heterogeneous Federated Learning | Baoyao Yang, Pong C. Yuen, Yiqun Zhang, An Zeng | 2025-01-01 | IEEE Transactions on Neural Networks and Learning Systems |  |
| 132 | Beyond Aggregation: Guiding Clients in Heterogeneous Federated Learning | Zijian Wang, Xiaofei Zhang, Xin Zhang, Yukun Liu, Qiong Zhang | 2025-01-01 | arXiv |  |
| 133 | ByzFL: Research Framework for Robust Federated Learning | Marc González, Rachid Guerraoui, Rafael Pinot, Geovani Rizk, John Stephan, François Taïani | 2025-01-01 | arXiv |  |
| 134 | CFL-SparseMed: Communication-Efficient Federated Learning for Medical Imaging with Top-k Sparse Updates | Gousia Habib, Aniket Bhardwaj, Ritvik Sharma, Shoeib Amin Banday, Ishfaq Ahmad Malik | 2025-01-01 | arXiv |  |
| 135 | Capture Global Feature Statistics for One-Shot Federated Learning | Zhenzhen Guan, Zhou Yucan, Xiaoyan Gu | 2025-01-01 | Proceedings of the AAAI Conference on Artificial Intelligence |  |
| 136 | Choice Outweighs Effort: Facilitating Complementary Knowledge Fusion in Federated Learning via Re-calibration and Merit-discrimination | Ming Yang, Dongrun Li, Xin Wang, Xiaoyang Yu, Xiaoming Wu, Shibo He | 2025-01-01 | Frontiers in artificial intelligence and applications |  |
| 137 | Cyst-X: AI-Powered Pancreatic Cancer Risk Prediction from Multicenter MRI in Centralized and Federated Learning | Hongyi Pan, Gorkem Durak, Elif Keles, Deniz Seyithanoglu, Zheyuan Zhang, Alpay Medetalibeyoglu, Halil Ertugrul Aktas, An... | 2025-01-01 | OpenAlex |  |
| 138 | FADngs: Federated Learning for Anomaly Detection | Boyu Dong, Dong Chen, Yu Wu, Siliang Tang, Yueting Zhuang | 2025-01-01 | IEEE Transactions on Neural Networks and Learning Systems |  |
| 139 | FNBench: Benchmarking Robust Federated Learning against Noisy Labels | Xuefeng Jiang, Jia Li, Nannan Wu, Zhiyuan Wu, Xujing Li, Sheng Sun, Gang Xu, Yuwei Wang, Qi Li, Min Liu | 2025-01-01 | OpenAlex |  |
| 140 | FedBiF: Communication-Efficient Federated Learning via Bits Freezing | Shiwei Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Jianbin Lin, Wenliang Zhong | 2025-01-01 | IEEE Trans. Parallel Distributed Syst. |  |
| 141 | DictPFL: Efficient and Private Federated Learning on Encrypted Gradients | Jiaqi Xue, Mayank Kumar, Yuzhang Shang, Shangqian Gao, Rui Ning, Mengxin Zheng, Xiaoqian Jiang, Qian Lou | 2025-01-01 | arXiv |  |
| 142 | FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching | Qifan Yan, Andrew Liu, Shiqi He, Mathias Lécuyer, Ivan Beschastnikh | 2025-01-01 | INFOCOM |  |
| 143 | FedRTS: Federated Robust Pruning via Combinatorial Thompson Sampling | Hong Huang, Hai Yang, Yuan Chen, Jiaxun Ye, Dapeng Wu | 2025-01-01 | arXiv |  |
| 144 | From continuous pre-training to alignment: A comprehensive toolkit for large language models in federated learning | Zhuo Zhang, Yukun Zhang, Guanzhong Chen, Lizhen Qu, Xun Zhou, Hui Wang, Zenglin Xu | 2025-01-01 | Neurocomputing |  |
| 145 | FedFitTech: A Baseline in Federated Learning for Fitness Tracking | Zeyneddin Oz, Shreyas Korde, Marius Bock, Kristof Van Laerhoven | 2025-01-01 | arXiv |  |
| 146 | Federated learning for digital twin applications: a privacy-preserving and low-latency approach | Jie Li, Dong Wang | 2025-01-01 | PeerJ Computer Science |  |
| 147 | Federated Discrete Denoising Diffusion Model for Molecular Generation with OpenFL | Kevin Ta, Patrick Foley, Mattson Thieme, Abhishek Pandey, Prashant Shah | 2025-01-01 | arXiv |  |
| 148 | FedSWA: Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging | Junkang Liu, Yuanyuan Liu, Fanhua Shang, Hongying Liu, Jin Liu, Wei Feng | 2025-01-01 | arXiv |  |
| 149 | Fedgac: optimizing generalization in personalized federated learning via adaptive initialization and strategic client selection | Yichun Yu, Xiaoyi Yang, Zheping Chen, Yuqing Lan, Zhihuan Xing, Dan Yu | 2025-01-01 | Research Square (Research Square) |  |
| 150 | FedRIR: Rethinking Information Representation in Federated Learning | Yongqiang Huang, Zerui Shao, Ziyuan Yang, Zexin Lu, Yi Zhang | 2025-01-01 | OpenAlex |  |
| 151 | FedQS: Optimizing Gradient and Model Aggregation for Semi-Asynchronous Federated Learning | Yunbo Li, Jiaping Gui, Zhihang Deng, Fanchao Meng, Yue Wu | 2025-01-01 | arXiv |  |
| 152 | FedKDC: Consensus-Driven Knowledge Distillation for Personalized Federated Learning in EEG-Based Emotion Recognition | Xihang Qiu, Wanyong Qiu, Ye Zhang, Kun Qian, Chun Guang Li, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto | 2025-01-01 | IEEE Journal of Biomedical and Health Informatics |  |
| 153 | FedKD-hybrid: Federated Hybrid Knowledge Distillation for Lithography Hotspot Detection | Yuqi Li, Xingyou Lin, Kai Zhang, Chuanguang Yang, Zhongliang Guo, Jianping Gou, Yanli Li | 2025-01-01 | arXiv |  |
| 154 | Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised Learning | Sijia Chen, Ningxin Su, Bao-Chun Li | 2024-12-27 | OpenAlex |  |
| 155 | SplitFedZip: Learned Compression for Data Transfer Reduction in Split-Federated Learning | Chamani Shiranthika, Hadi Hadizadeh, Parvaneh Saeedi, Ivan V. Bajić | 2024-12-18 | arXiv |  |
| 156 | Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression | Junliang Lyu, Yixuan Zhang, Xiaoling Lu, Feng Zhou | 2024-12-14 | OpenAlex |  |
| 157 | Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph Generation | SeungBum Ha, Taehwan Lee, Jiyoun Lim, Sung Whan Yoon | 2024-12-11 | Pattern Recognition Letters |  |
| 158 | One-shot Federated Learning via Synthetic Distiller-Distillate Communication | Junyuan Zhang, Songhua Liu, Xinchao Wang | 2024-12-06 | NeurIPS |  |
| 159 | FedDW: Distilling Weights through Consistency Optimization in Heterogeneous Federated Learning | Jiayu Liu, Yong Wang, Nianbin Wang, Jing Yang, Xiaohui Tao | 2024-12-05 | arXiv |  |
| 160 | FedAH: Aggregated Head for Personalized Federated Learning | Pengzhan Zhou, Yuepeng He, Yijun Zhai, Kaixin Gao, Chao Chen, Zhida Qin, Chong Zhang, Songtao Guo | 2024-12-02 | OpenAlex |  |
| 161 | FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction | Yuepeng He, Pengzhan Zhou, Yijun Zhai, Fang Qu, Zhida Qin, Mingyan Li, Songtao Guo | 2024-12-01 | IEEE Transactions on Cloud Computing |  |
| 162 | Vertical Federated Unlearning via Backdoor Certification | Mengde Han, Tianqing Zhu, Lefeng Zhang, Huan Huo, Wanlei Zhou | 2024-12-01 | arXiv |  |
| 163 | Optimizing Personalized Federated Learning through Adaptive Layer-Wise Learning | Weihang Chen, Cheng‐Han Yang, Jie Ren, Zhiqiang Li, Zheng Wang | 2024-12-01 | OpenAlex |  |
| 164 | Generalising Battery Control in Net-Zero Buildings via Personalised Federated RL | Nicolas M Cuadrado Avila, Samuel Horváth, Martin Takáč | 2024-12-01 | arXiv |  |
| 165 | DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices | Yongzhe Jia, Xuyun Zhang, Hongsheng Hu, Kim-Kwang Raymond Choo, Lianyong Qi, Xiaolong Xu, Amin Beheshti, Wanchun Dou | 2024-12-01 | NeurIPS |  |
| 166 | FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning | Minjun Kim, Min‐Jee Kim, Jinhoon Jeong | 2024-12-01 | arXiv |  |
| 167 | BEFL: Balancing Energy Consumption in Federated Learning for Mobile Edge IoT | Zhengyu Ju, Tongquan Wei, Fuke Shen | 2024-12-01 | arXiv |  |
| 168 | Covariances for Free: Exploiting Mean Distributions for Training-free Federated Learning | Dipam Goswami, Simone Magistri, Kai Wang, Bartłomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer | 2024-12-01 | arXiv |  |
| 169 | Covariances for Free: Exploiting Mean Distributions for Federated Learning with Pre-Trained Models | Dipam Goswami, Simone Magistri, Kai Wang, Bartłomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer | 2024-12-01 | arXiv | |
| 170 | FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients | Han Liang, Ziwei Zhan, Weijie Liu, Xiaoxi Zhang, Chee Wei Tan, Xu Chen | 2024-11-04 | Frontiers in artificial intelligence and applications |  |
| 171 | Adaptive Client Selection with Personalization for Communication Efficient Federated Learning | Allan M. de Souza, Filipe Maciel, Joahannes B. D. da Costa, Luiz F. Bittencourt, Eduardo Cerqueira, Antonio A. F. Lourei... | 2024-11-01 | Ad Hoc Networks |  |
| 172 | Energy-efficient Federated Learning with Dynamic Model Size Allocation | M. S. Chaitanya Kumar, Sai Satya Narayana J, Yunkai Bao, Xin Wang, Steve Drew | 2024-11-01 | 2021 IEEE International Conference on Big Data (Big Data) |  |
| 173 | FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework | Yuchen He, Chuyun Shen, Xiangfeng Wang, Bo Jin | 2024-11-01 | arXiv |  |
| 174 | FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous Vehicles | Yijun Zhai, Pengzhan Zhou, Yuepeng He, Fang Qu, Zhida Qin, Xianlong Jiao, Guiyan Liu, Songtao Guo | 2024-11-01 | arXiv |  |
| 175 | FedSECA: Sign Election and Coordinate-wise Aggregation of Gradients for Byzantine Tolerant Federated Learning | Joseph Geo Benjamin, Mothilal Asokan, Mohammad Yaqub, Karthik Nandakumar | 2024-11-01 | CVPR Workshops |  |
| 176 | Identify Backdoored Model in Federated Learning via Individual Unlearning | Jiahao Xu, Zikai Zhang, Rui Hu | 2024-11-01 | 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) |  |
| 177 | Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures | Yicheng Zhang, Zhen Qin, Zhaomin Wu, Jian Hou, Shuiguang Deng | 2024-11-01 | arXiv |  |
| 178 | Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning | Minghui Chen, Meirui Jiang, Xin Zhang, Qi Dou, Zehua Wang, Xiaoxiao Li | 2024-10-31 | NeurIPS |  |
| 179 | Vertical Federated Learning with Missing Features During Training and Inference | Pedro Valdeira, Shiqiang Wang, Yuejie Chi | 2024-10-29 | arXiv |  |
| 180 | FedCVD: The First Real-World Federated Learning Benchmark on Cardiovascular Disease Data | Yukun Zhang, Guanzhong Chen, Zenglin Xu, Jianyong Wang, Dun Zeng, Junfan Li, Jinghua Wang, Yuan Qi, Irwin King | 2024-10-27 | arXiv |  |
| 181 | FedStein: Enhancing Multi-Domain Federated Learning Through James-Stein Estimator | Sunny Gupta, Nikita Jangid, Amit Sethi | 2024-10-04 | arXiv |  |
| 182 | FedCCRL: Federated Domain Generalization with Cross-Client Representation Learning | Xinpeng Wang, Yongxin Guo, Xiaoying Tang | 2024-10-01 | arXiv |  |
| 183 | PARDON: Privacy-Aware and Robust Federated Domain Generalization | Dung Thuy Nguyen, Taylor T. Johnson, Kevin Leach | 2024-10-01 | arXiv |  |
| 184 | Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models | Jun Luo, Chen Chen, Shandong Wu | 2024-10-01 | arXiv |  |
| 185 | Federated Black-Box Adaptation for Semantic Segmentation | Jay N. Paranjape, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel | 2024-10-01 | arXiv |  |
| 186 | FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference | Zihan Tan, Guancheng Wan, Wenke Huang, Mang Ye | 2024-10-01 | arXiv |  |
| 187 | FedMAC: Tackling Partial-Modality Missing in Federated Learning with Cross-Modal Aggregation and Contrastive Regularization | Manh Duong Nguyen, Trung Thanh Nguyen, Huy Hieu Pham, Trong Nghia Hoang, Phi Le Nguyen, Thanh Trung Huynh | 2024-10-01 | OpenAlex | |
| 188 | FedGraph: A Research Library and Benchmark for Federated Graph Learning | Yuhang Yao, Yuan Li, Xinyi Fan, Junhao Li, Kay Liu, Weizhao Jin, Yu Yang, Srivatsan Ravi, Philip S. Yu, Carlee Joe-Wong | 2024-10-01 | arXiv |  |
| 189 | FedGMark: Certifiably Robust Watermarking for Federated Graph Learning | Yuxin Yang, Qiang Li, Yuan Hong, Binghui Wang | 2024-10-01 | arXiv |  |
| 190 | FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Foundation Models | Raghav Singhal, Kaustubh Ponkshe, Praneeth Vepakomma | 2024-10-01 | arXiv |  |
| 191 | FedCert: Federated Accuracy Certification | Minh Hieu Nguyen, Huu Tien Nguyen, Trung Thanh Nguyen, Manh Duong Nguyen, Trong Nghia Hoang, Truong Thao Nguyen, Phi Le ... | 2024-10-01 | arXiv |  |
| 192 | Towards Privacy-Guaranteed Label Unlearning in Vertical Federated Learning: Few-Shot Forgetting without Disclosure | Hanlin Gu, Hong Xi Tae, Chee Seng Chan, Lixin Fan | 2024-10-01 | arXiv |  |
| 193 | FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection | Xinting Liao, Weiming Liu, Pengyang Zhou, Fengyuan Yu, Jiahe Xu, Jun Wang, Wenjie Wang, Chaochao Chen, Xiaolin Zheng | 2024-10-01 | arXiv |  |
| 194 | Evaluating Federated Kolmogorov-Arnold Networks on Non-IID Data | Arthur Mendonça Sasse, Claudio Miceli de Farias | 2024-10-01 | arXiv |  |
| 195 | Deep Domain Isolation and Sample Clustered Federated Learning for Semantic Segmentation | Matthis Manthe, Carole Lartizien, Stefan Duffner | 2024-10-01 |  |
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| 196 | DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving Federated Low-rank Adaptation | Meilu Zhu, Axiu Mao, Jun Liu, Yixuan Yuan | 2024-10-01 | arXiv |  |
| 197 | Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift | Junbao Chen, Jingfeng Xue, Yong Wang, Zhenyan Liu, Xuhui Huang | 2024-10-01 | NeurIPS |  |
| 198 | Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views | Xinyue Chen, Yazhou Ren, Jie Xu, Fangfei Lin, Xiaorong Pu, Yang Yang | 2024-10-01 | arXiv |  |
| 199 | Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning | Zhilong Li, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Mengmeng Chen, Qiqi Liu, Qicheng Lao, Xiaoxiao Li, Yu Han | 2024-10-01 | Lecture notes in computer science |  |
| 200 | An Architecture Built for Federated Learning: Addressing Data Heterogeneity through Adaptive Normalization-Free Feature Recalibration | Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni | 2024-10-01 | Trans. Mach. Learn. Res. |  |