FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients

Min Zhang, Fuxun Yu, Yongbo Yu +3

Federated Learning (FL) is a distributed learning paradigm that empowers edge devices to collaboratively learn a global model leveraging local data. Simulating FL on GPU is essenti…