Efficient and Scalable Implementation of Differentially Private Deep Learning without Shortcuts

Sebastian Rodriguez Beltran, Marlon Tobaben, Joonas Jälkö +2

Differentially private stochastic gradient descent (DP-SGD) is the standard algorithm for training machine learning models under differential privacy (DP). The most common DP-SGD p…