Client and Training Data Selection for Computationally Efficient Synchronized Federated Learning

Muzaffer Citir, Hiroki Nishikawa, Sangyoung Park

Federated learning (FL) is a promising paradigm of machine learning, which preserves user privacy by enabling learning without sharing raw data with a cloud server. Straggling clie…