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Vadym Doroshenko

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Preprint Aug 2026

Online Differentially Private Consistent Clustering

A generic reduction is given that transforms the (sensitive) input stream into a private stream, which is a semi-coreset of the input stream, which implies that any (non-private) online clustering algorithm, run as a post-processing step, can achieve good utility for the original clustering objective.

Edith Cohen, Vadym Doroshenko, Badih Ghazi et al. · 0 citations

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