Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data. (arXiv:1910.00482v4 [cs.LG] UPDATED)

In this paper, we study the problem of estimating smooth Generalized Linear
Models (GLMs) in the Non-interactive Local Differential Privacy (NLDP) model.
Different from its classical setting, our model allows the server to access
some additional public but unlabeled data. In the first part of the paper we
focus on GLMs. Specifically, we first consider the case where each data record
is i.i.d. sampled from a zero-mean multivariate Gaussian distribution.
Motivated by the Stein's lemma, we present an $(\epsilon, \delta)$-NLDP …

data differential privacy lg local non privacy public