Heterogeneity-Aware Client Sampling for Optimal and Efficient Federated Learning

Shudi Weng, Chao Ren, Ming Xiao +1

Federated learning (FL) commonly involves clients with diverse communication and computational capabilities. Such heterogeneity can significantly distort the optimization dynamics…