FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification

Chutian Jiang, Hansong Zhou, Xiaonan Zhang +1

Federated learning (FL) enables clients to collaboratively train machine learning models under the coordination of a server in a privacy-preserving manner. One of the main challeng…