Skip to main navigation Skip to search Skip to main content

Analysis of accelerated gossip algorithms

  • J. Liu
  • , B. D.O. Anderson
  • , M. Cao
  • , A. S. Morse
  • Australian National University
  • University of Groningen
  • Yale University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

19 Scopus citations

Abstract

This paper investigates accelerated gossip algorithms for distributed computations in networks where shiftregisters are utilized at each node. By using tools from matrix analysis, we prove the existence of the desired acceleration and establish the fastest rate of convergence in expectation for two-register symmetric gossip. Some classes of networks with regular graph topologies are studied in detail to validate the analytical results by comparison with existing empirical data. We also analyze convergence of second moment and provide a necessary condition for convergence in multi-register symmetric gossip. The proposed approach has the potential to be applied to the more challenging open problem of asymmetric gossip.

Original languageEnglish
Title of host publicationProceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages871-876
Number of pages6
ISBN (Print)9781424438716
DOIs
StatePublished - 2009
Event48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009 - Shanghai, China
Duration: Dec 15 2009Dec 18 2009

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
Country/TerritoryChina
CityShanghai
Period12/15/0912/18/09

Fingerprint

Dive into the research topics of 'Analysis of accelerated gossip algorithms'. Together they form a unique fingerprint.

Cite this