Meiling Chen

Enhancing Privacy Preservation in Federated Learning via Learning Rate Perturbation

Federated learning (FL) is a privacy-enhanced distributed machine learning framework, in which multiple clients collaboratively train a global model by exchanging their model updates without sharing local private data. However, the adversary can use gradient inversion attacks to reveal the clients'…