Privacy-Preserving Belief Propagation and Sampling

15 years 9 months ago

Download www.cis.upenn.edu

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.

Michael Kearns, Jinsong Tan, Jennifer Wortman

Real-time Traffic

Gibbs Sampling | Information Technology | Multiparty Protocols | NIPS 2007 | ﬁnal Local Value |

claim paper

Post Info
More Details (n/a)

Added	30 Oct 2010
Updated	30 Oct 2010
Type	Conference
Year	2007
Where	NIPS
Authors	Michael Kearns, Jinsong Tan, Jennifer Wortman

Comments (0)

Sciweavers

Privacy-Preserving Belief Propagation and Sampling

Gibbs Sampling | Information Technology | Multiparty Protocols | NIPS 2007 | ﬁnal Local Value |

Explore & Download

Productivity Tools

Sciweavers