Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
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HCSFL
- It is a decentralised learning framework that enables privacy preserving training of ML models for heterogeneous clients on practical networks.
- Wrote unit tests for various components of Envisedge - a deployment library for recommendation engines with Edge Computing. github