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PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model. (arXiv:2401.16596v1 [stat.ME])
stat.ML updates on arXiv.org arxiv.org
The Ising model, originally developed as a spin-glass model for ferromagnetic
elements, has gained popularity as a network-based model for capturing
dependencies in agents' outputs. Its increasing adoption in healthcare and the
social sciences has raised privacy concerns regarding the confidentiality of
agents' responses. In this paper, we present a novel
$(\varepsilon,\delta)$-differentially private algorithm specifically designed
to protect the privacy of individual agents' outcomes. Our algorithm allows for
precise estimation of the natural parameter using a single network through an …
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