Moon-Hyun Kim

FedUV: Uniformity and Variance for Heterogeneous Federated Learning

Federated learning is a promising framework to train neural networks with widely distributed data. However performance degrades heavily with heterogeneously distributed data. Recent work has shown this is due to the final layer of the network being most prone to local bias some finding success freez…