Author

Lei Wang

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Open access 2026

FedProRef: Communication-Efficient Prototype-Count Supervision for Federated Learning Under Severe Label Skew

Severe label skew leaves local classifier heads with insufficient supervision for underrepresented classes in federated learning (FL). We present FedProRef, an upload-efficient prototype-count supervision framework for frozen-feature, head-only FL. Each eligible client–class pair uploads only a prototype and sample cou...

Lei Wang, Hao Ren · IEEE Access · 0 citations