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arXiv · 1905.00767

Scalable and Jointly Differentially Private Packing

Zhiyi Huang·Xue Zhu
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Abstract

We introduce an $(\epsilon, \delta)$-jointly differentially private algorithm for packing problems. Our algorithm not only achieves the optimal trade-off between the privacy parameter $\epsilon$ and the minimum supply requirement (up to logarithmic factors), but is also scalable in the sense that the running time is linear in the number of agents $n$. Previous algorithms either run in cubic time in $n$, or require a minimum supply per resource that is $\sqrt{n}$ times larger than the best possible.

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Zhiyi Huang, Xue Zhu. 2019-05-02. Scalable and Jointly Differentially Private Packing. https://arxiv.org/abs/1905.00767

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