Differentially Private Bayesian Learning on Distributed Data

Mikko Heikkilä, Eemil Lagerspetz, Samuel Kaski +3

Many applications of machine learning, for example in health care, would benefit from methods that can guarantee privacy of data subjects. Differential privacy (DP) has become esta…