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arXiv · 2211.12738

Differentially Private Fair Division

Pasin Manurangsi·Warut Suksompong
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Abstract

Fairness and privacy are two important concerns in social decision-making processes such as resource allocation. We study privacy in the fair allocation of indivisible resources using the well-established framework of differential privacy. We present algorithms for approximate envy-freeness and proportionality when two instances are considered to be adjacent if they differ only on the utility of a single agent for a single item. On the other hand, we provide strong negative results for both fairness criteria when the adjacency notion allows the entire utility function of a single agent to change.

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Pasin Manurangsi, Warut Suksompong. 2022-11-23. Differentially Private Fair Division. https://doi.org/10.1016/j.artint.2025.104385

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