Impact of Sampling on Locally Differentially Private Data Collection
Sayan Biswas,
Graham Cormode,
Carsten Maple
Abstract:With the recent bloom of data, there is a huge surge in threats against individuals' private information. Various techniques for optimizing privacy-preserving data analysis are at the focus of research in the recent years. In this paper, we analyse the impact of sampling on the utility of the standard techniques of frequency estimation, which is at the core of large-scale data analysis, of the locally deferentially private data-release under a pure protocol. We study the case in a distributed environment of da… Show more
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