2025
HFedPFS: Heterogeneous Federated Learning with Personalized Data Feature Sharing
ICASSP 2025accepted
Federated learning (FL) is a distributed machine learning technique enabling multiple clients to jointly train a global model while preserving the privacy of their non-IID (non-independent and identically) data. However, traditional FL approaches require clients to use the same model structure as th…