Jike Zhong

Making Batch Normalization Great in Federated Deep Learning

2023 · arXiv (Cornell University)

Batch Normalization (BN) is widely used in {centralized} deep learning to improve convergence and generalization. However, in {federated} learning (FL) with decentralized data, prior work has observed that training with BN could hinder performance and …