Enhancing Privacy against Inversion Attacks in Federated Learning by using Mixing Gradients Strategies

Shaltiel Eloul, Fran Silavong, Sanket Kamthe +2

Federated learning reduces the risk of information leakage, but remains vulnerable to attacks. We investigate how several neural network design decisions can defend against gradien…