Michaël Perrot

Achieving fairness in synthetic data generation isn't just about bias correction—it's about ensuring utility parity across sensitive groups, and this paper reveals how to do it effectively.

Overcome the bias introduced by local differential privacy with a new SGD algorithm that converges to the true population risk minimizer.