Guanghao Liang

Fed-CAD: Federated Learning with Correlation-aware Adaptive Local Differential Privacy

2024

Federated Learning (FL) enables multiple participants to collaboratively train a globally shared model without the need of explicit data sharing. However, prior research indicates that local model updates released during the federated training may also …