Spotlight
Privacy-Preserving Belief Propagation and Sampling
Michael Kearns · Jinsong Tan · Jennifer Wortman Vaughan
Abstract:
We provide provably privacy-preserving versions of belief propagation, Gibbs sampling, and other local algorithms --- distributed multiparty protocols in which each party or vertex learns only its final local value, and absolutely nothing else.
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