FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-aware Model Update

Ji Liu, Juncheng Jia, Tianshi Che +5

As a promising approach to deal with distributed data, Federated Learning (FL) achieves major advancements in recent years. FL enables collaborative model training by exploiting th…