Dropout is NOT All You Need to Prevent Gradient Leakage

Daniel Scheliga, Patrick Mäder, Marco Seeland

Gradient inversion attacks on federated learning systems reconstruct client training data from exchanged gradient information. To defend against such attacks, a variety of defense…