When the Server Steps In: Calibrated Updates for Fair Federated Learning

Tianrun Yu, Kaixiang Zhao, Cheng Zhang +4

Federated learning (FL) has emerged as a transformative distributed learning paradigm, enabling multiple clients to collaboratively train a global model under the coordination of a…