Achieving Linear Speedup in Asynchronous Federated Learning with Heterogeneous Clients

Xiaolu Wang, Zijian Li, Shi Jin +1

Federated learning (FL) is an emerging distributed training paradigm that aims to learn a common global model without exchanging or transferring the data that are stored locally at…