Zichun Su

FLSeg: Enhancing Privacy and Robustness in Federated Learning under Heterogeneous Data via Model Segmentation

Federated Learning (FL) enables collaborative training of a global model without data sharing, yet it faces critical challenges from privacy leakage and Byzantine attacks. Existing privacy-preserving robust FL frameworks suffer from three key limitations: high computational costs, restricted applica…