License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.DISC.2017.51
URN: urn:nbn:de:0030-drops-79921
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2017/7992/
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Függer, Matthias ; Nowak, Thomas ; Schwarz, Manfred

Brief Announcement: Lower Bounds for Asymptotic Consensus in Dynamic Networks

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Abstract

In this work we study the performance of asymptotic and approximate consensus algorithms in dynamic networks. The asymptotic consensus problem requires a set of agents to repeatedly set their outputs such that the outputs converge to a common value within the convex hull of initial values. This problem, and the related approximate consensus problem, are fundamental building blocks in distributed systems where exact consensus among agents is not required, e.g., man-made distributed control systems, and have applications in the analysis of natural distributed systems, such as flocking and opinion dynamics. We prove new nontrivial lower bounds on the contraction rates of asymptotic consensus algorithms, from which we deduce lower bounds on the time complexity of approximate consensus algorithms. In particular, the obtained bounds show optimality of asymptotic and approximate consensus algorithms presented in [Charron-Bost et al., ICALP'16] for certain classes of networks that include classical failure assumptions, and confine the search for optimal bounds in the general case.

Central to our lower bound proofs is an extended notion of valency, the set of reachable limits of an asymptotic consensus algorithm starting from a given configuration. We further relate topological properties of valencies to the solvability of exact consensus, shedding some light on the relation of these three fundamental problems in dynamic networks.

BibTeX - Entry

@InProceedings{fgger_et_al:LIPIcs:2017:7992,
  author =	{Matthias F{\"u}gger and Thomas Nowak and Manfred Schwarz},
  title =	{{Brief Announcement: Lower Bounds for Asymptotic Consensus in Dynamic Networks}},
  booktitle =	{31st International Symposium on Distributed Computing (DISC 2017)},
  pages =	{51:1--51:3},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-053-8},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{91},
  editor =	{Andr{\'e}a W. Richa},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2017/7992},
  URN =		{urn:nbn:de:0030-drops-79921},
  doi =		{10.4230/LIPIcs.DISC.2017.51},
  annote =	{Keywords: Asymptotic Consensus, Dynamic Networks, Contraction Rate, Time Commplexity, Lower Bounds}
}

Keywords: Asymptotic Consensus, Dynamic Networks, Contraction Rate, Time Commplexity, Lower Bounds
Collection: 31st International Symposium on Distributed Computing (DISC 2017)
Issue Date: 2017
Date of publication: 12.10.2017

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