Differentially Private k-Means with Constant Multiplicative Error

    NeurIPS, pp. 5436-5446, 2018.

    Cited by: 4|Bibtex|Views0|Links
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    Keywords:
    differential privacyfirst timek-means clustering

    Abstract:

    We design new differentially private algorithms for the Euclidean k-means problem, both in the centralized model and in the local model of differential privacy. In both models, our algorithms achieve significantly improved error guarantees than the previous state-of-the-art. In addition, in the local model, our algorithm significantly red...More

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