Client Selection in Federated Learning with Data Heterogeneity and Network Latencies

Harsh Vardhan, Xiaofan Yu, Tajana Rosing +1

Federated learning (FL) is a distributed machine learning paradigm where multiple clients conduct local training based on their private data, then the updated models are sent to a…