FedAdaVR: Adaptive Variance Reduction for Robust Federated Learning under Limited Client Participation

S M Ruhul Kabir Howlader, Xiao Chen, Yifei Xie +1

Federated learning (FL) encounters substantial challenges due to heterogeneity, leading to gradient noise, client drift, and partial client participation errors, the last of which…