Peichun Li

Compression Meets Security: Low-Complexity Linear Collaborative Federated Learning With Enhanced Accuracy

2025 · IEEE Transactions on Mobile Computing

Federated learning (FL) has been regarded as a promising paradigm for enabling distributed model training over resource-limited edge devices. Although FL maintains data locality and enhances model generalization, it faces challenges such as model leakage …