Enhancing Privacy in Federated Learning via Dual Obfuscation of Gradients and Training Images

Yuki Itabashi, Hiroto Sawada, Mare Hirose +2

Federated learning enables collaborative model training while keeping data locally at each client; however, recent studies have shown that training data can be reconstructed from s…