FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity

Yonghai Gong, Yichuan Li, Nikolaos M. Freris

Federated Learning (FL) is an emerging framework for distributed processing of large data volumes by edge devices subject to limited communication bandwidths, heterogeneity in data…