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[Submitted on 19 Nov 2021]

Title:Non asymptotic bounds in asynchronous sum-weight gossip protocols

Authors:David Picard, Jérôme Fellus, Stéphane Garnier
Download a PDF of the paper titled Non asymptotic bounds in asynchronous sum-weight gossip protocols, by David Picard and 2 other authors
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Abstract: This paper focuses on non-asymptotic diffusion time in asynchronous gossip protocols. Asynchronous gossip protocols are designed to perform distributed computation in a network of nodes by randomly exchanging messages on the associated graph. To achieve consensus among nodes, a minimal number of messages has to be exchanged. We provides a probabilistic bound to such number for the general case. We provide a explicit formula for fully connected graphs depending only on the number of nodes and an approximation for any graph depending on the spectrum of the graph.
Comments: Unpublished work done circa 2016
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Optimization and Control (math.OC)
Cite as: arXiv:2111.10248 [stat.ML]
  (or arXiv:2111.10248v1 [stat.ML] for this version)
  https://doi.org/10.48550/arXiv.2111.10248
arXiv-issued DOI via DataCite

Submission history

From: David Picard [view email]
[v1] Fri, 19 Nov 2021 14:39:45 UTC (213 KB)
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