Privacy-Preserving Federated Learning via Homomorphic Adversarial Networks

Wenhan Dong, Chao Lin, Xinlei He +2

Privacy-preserving federated learning (PPFL) aims to train a global model for multiple clients while maintaining their data privacy. However, current PPFL protocols exhibit one or…