2022
Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms
NeurIPS 2022accept
We study the design of optimal Bayesian data acquisition mechanisms for a platform interested in estimating the mean of a distribution by collecting data from privacy-conscious users. In our setting, users have heterogeneous sensitivities for two types of privacy losses corresponding to local and ce…