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

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 shared model updates. To address this issue, this paper proposes a dual obfuscation method that enhances robustness again...