Random Gradient Masking as a Defensive Measure to Deep Leakage in Federated Learning

Joon Kim, Sejin Park

Federated Learning(FL), in theory, preserves privacy of individual clients' data while producing quality machine learning models. However, attacks such as Deep Leakage from Gradien…