We propose consensus propagation, an asynchronous distributed protocol for averaging numbers across a network. We establish convergence, characterize the convergence rate for regular graphs, and demonstrate that the protocol exhibits better scaling properties than pairwise averaging, an alternative that has received much recent attention. Consensus propagation can be viewed as a special case of belief propagation, and our results contribute to the belief propagation literature. In particular, beyond singly-connected graphs, there are very few classes of relevant problems for which belief propagation is known to converge
Consensus Propagation
Published 2005 in IEEE Transactions on Information Theory
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- Publication year
2005
- Venue
IEEE Transactions on Information Theory
- Publication date
2005-12-05
- Fields of study
Mathematics, Computer Science
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