2026
FedLog: Personalized Federated Classification with Less Communication and More Flexibility
ICML 2026poster
Federated representation learning (FRL) aims to learn personalized federated models with effective feature extraction from local data. FRL algorithms that share the majority of the model parameters face significant challenges with huge communication overhead. This overhead stems from the millions of…