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The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Convergence Speed in Distributed Consensus and Averaging

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Olshevsky, Alex, Tsitsiklis, John N.·2009·SIAM Journal on Control and Optimization

Abstract

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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Metadata

Authors
Olshevsky, A., & Tsitsiklis, J. N.
Venue
SIAM Journal on Control and Optimization
Published
2009-01
Volume
48
Issue
1
Pages
33-55
ISSN
  • 0363-0129 (ISSN-L)
  • 1095-7138
OpenAlex
W1593331236
Cited by
692
References
9
FWCI
60.98
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Convergence Speed in Distributed Consensus and Averaging. https://app.cochat.ai/papers/10.1137/060678324
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Olshevsky, A., & Tsitsiklis, J. N. (2009). Convergence Speed in Distributed Consensus and Averaging. SIAM Journal on Control and Optimization. https://doi.org/10.1137/060678324

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.