Learning with Locally Private Examples by Inverse Weierstrass Private Stochastic Gradient Descent

Jean Dufraiche, Paul Mangold, Michaël Perrot +1

Releasing data once and for all under noninteractive Local Differential Privacy (LDP) enables complete data reusability, but the resulting noise may create bias in subsequent analy…