NeFL: Nested Model Scaling for Federated Learning with System Heterogeneous Clients

Honggu Kang, Seohyeon Cha, Jinwoo Shin +2

Federated learning (FL) enables distributed training while preserving data privacy, but stragglers-slow or incapable clients-can significantly slow down the total training time and…