[KubeEdge] KubeEdge SIG AI: Benchmarks for Edge-cloud Collaborative Lifelong Learning

[nate-double-u]

The KubeEdge SIG AI is chartered to facilitate Edge AI applications with KubeEdge. An overview of SIG AI activities can be found in this charter. This project focuses on measuring and validating the desired behaviors for an epoch-making Edge AI scheme, i.e., Edge-cloud Collaborative Lifelong Learning. The scheme of Edge-cloud Collaborative Lifelong Learning has been released in KubeEdge-Sedna together with a hands-on example and a free playground. Part of the effort is to develop test cases for this existing scheme on KubeEdge-Sedna, including interfaces for benchmark datasets, metrics, and even baselines. These test cases will help all Edge AI application developers to validate and select the best-matched algorithm of lifelong learning. Several breath-taking Edge-AI scenarios have been prepared for benchmarking: looking forward to seeing your codes involved in real-world robots, outer-space satellites, and industrial production lines!

Mentor(s): Zimu Zheng (@MooreZheng)

https://github.com/cncf/mentoring/blob/main/summerofcode/2022.md#kubeedge-sig-ai-benchmarks-for-edge-cloud-collaborative-lifelong-learning