Convergence speed in distributed consensus and averaging

We study the convergence speed of distributed iterative algorithms for the consensus and averaging problems, with emphasis on the latter. We first consider the case of a fixed communication topology. We show that a simple adaptation of a consensus algorithm leads to an averaging algorithm. We prove...

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Detalhes bibliográficos
Principais autores: Olshevsky, Alexander, Tsitsiklis, John N.
Outros Autores: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Formato: Artigo
Idioma:en_US
Publicado em: Society for Industrial and Applied Mathematics 2010
Acesso em linha:http://hdl.handle.net/1721.1/51694
https://orcid.org/0000-0003-2658-8239
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author Olshevsky, Alexander
Tsitsiklis, John N.
author2 Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
author_facet Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Olshevsky, Alexander
Tsitsiklis, John N.
author_sort Olshevsky, Alexander
collection MIT
description We study the convergence speed of distributed iterative algorithms for the consensus and averaging problems, with emphasis on the latter. We first consider the case of a fixed communication topology. We show that a simple adaptation of a consensus algorithm leads to an averaging algorithm. We prove lower bounds on the worst-case convergence time for various classes of linear, time-invariant, distributed consensus methods, and provide an algorithm that essentially matches those lower bounds. We then consider the case of a time-varying topology, and provide a polynomial-time averaging algorithm.
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spelling mit-1721.1/516942022-09-30T10:06:01Z Convergence speed in distributed consensus and averaging Olshevsky, Alexander Tsitsiklis, John N. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Laboratory for Information and Decision Systems Tsitsiklis, John N. Olshevsky, Alexander Tsitsiklis, John N. We study the convergence speed of distributed iterative algorithms for the consensus and averaging problems, with emphasis on the latter. We first consider the case of a fixed communication topology. We show that a simple adaptation of a consensus algorithm leads to an averaging algorithm. We prove lower bounds on the worst-case convergence time for various classes of linear, time-invariant, distributed consensus methods, and provide an algorithm that essentially matches those lower bounds. We then consider the case of a time-varying topology, and provide a polynomial-time averaging algorithm. 2010-02-11T13:20:44Z 2010-02-11T13:20:44Z 2009-02 2006-12 Article http://purl.org/eprint/type/SubmittedJournalArticle 0363-0129 1095-7138 http://hdl.handle.net/1721.1/51694 Olshevsky, Alex, and John N. Tsitsiklis. “Convergence Speed in Distributed Consensus and Averaging.” SIAM Journal on Control and Optimization 48.1 (2009): 33-55. https://orcid.org/0000-0003-2658-8239 en_US http://dx.doi.org/10.1137/060678324 SIAM Journal on Control and Optimization Attribution-Noncommercial-Share Alike 3.0 Unported http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Society for Industrial and Applied Mathematics author/dept web page
spellingShingle Olshevsky, Alexander
Tsitsiklis, John N.
Convergence speed in distributed consensus and averaging
title Convergence speed in distributed consensus and averaging
title_full Convergence speed in distributed consensus and averaging
title_fullStr Convergence speed in distributed consensus and averaging
title_full_unstemmed Convergence speed in distributed consensus and averaging
title_short Convergence speed in distributed consensus and averaging
title_sort convergence speed in distributed consensus and averaging
url http://hdl.handle.net/1721.1/51694
https://orcid.org/0000-0003-2658-8239
work_keys_str_mv AT olshevskyalexander convergencespeedindistributedconsensusandaveraging
AT tsitsiklisjohnn convergencespeedindistributedconsensusandaveraging