Normalized/Clipped SGD with Perturbation for Differentially Private Non-Convex Optimization

Xiaodong Yang, Huishuai Zhang, Wei Chen +1

By ensuring differential privacy in the learning algorithms, one can rigorously mitigate the risk of large models memorizing sensitive training data. In this paper, we study two al…