Xintong Lu

Towards Feature-Consistent Parameter Collaboration for Personalized Federated Learning

Personalized federated learning (PFL) aims to improve the performance of the local model on each client with the non-IID data among different clients. This paper introduces FedFPC, a PFL method that allows effective and robust parameter-wise collaboration to achieve outperforming performance. Stem f…