FedHPL: Efficient Heterogeneous Federated Learning with Prompt Tuning and Logit Distillation

Yuting Ma, Lechao Cheng, Yaxiong Wang +3

Federated learning (FL) is a popular privacy-preserving paradigm that enables distributed clients to collaboratively train models with a central server while keeping raw data local…