Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective

HyeongGwon Hong, Yooshin Cho, Hanbyel Cho +2

Gradient inversion attacks can leak data privacy when clients share weight updates with the server in federated learning (FL). Existing studies mainly use L2 or cosine distance as…