Preprint
Aug 2026
Enhancing Privacy in Federated Learning via Dual Obfuscation of Gradients and Training Images
A dual obfuscation method that enhances robustness against image restoration attacks by jointly obfuscating updated information and training images and allowing independent keys to be used for each client and each image, avoiding explicit key sharing is proposed.
Yukihiro Itabashi, Hiroto Sawada, Mare Hirose et al.
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