Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance

Dun Zeng, Zenglin Xu, Yu Pan +3

Federated Learning (FL) is a distributed learning paradigm to train a global model across multiple devices without collecting local data. In FL, a server typically selects a subset…