Differentially-Private "Draw and Discard" Machine Learning

Vasyl Pihur, Aleksandra Korolova, Frederick Liu +4

In this work, we propose a novel framework for privacy-preserving client-distributed machine learning. It is motivated by the desire to achieve differential privacy guarantees in t…