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arXiv · 1912.06296

On Privatizing Equilibrium Computation in Aggregate Games over Networks

Shripad Gade·Anna Winnicki·Subhonmesh Bose
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Abstract

We propose a distributed algorithm to compute an equilibrium in aggregate games where players communicate over a fixed undirected network. Our algorithm exploits correlated perturbation to obfuscate information shared over the network. We prove that our algorithm does not reveal private information of players to an honest-but-curious adversary who monitors several nodes in the network. In contrast with differential privacy based algorithms, our method does not sacrifice accuracy of equilibrium computation to provide privacy guarantees.

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Shripad Gade, Anna Winnicki, Subhonmesh Bose. 2019-12-13. On Privatizing Equilibrium Computation in Aggregate Games over Networks. https://arxiv.org/abs/1912.06296

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