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arXiv · 2009.13317

A note on differentially private clustering with large additive error

Huy L. Nguyen
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Abstract

In this note, we describe a simple approach to obtain a differentially private algorithm for k-clustering with nearly the same multiplicative factor as any non-private counterpart at the cost of a large polynomial additive error. The approach is the combination of a simple geometric observation independent of privacy consideration and any existing private algorithm with a constant approximation.

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Huy L. Nguyen. 2020-09-28. A note on differentially private clustering with large additive error. https://arxiv.org/abs/2009.13317

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