Constructing Stochastic Matrices for Weighted Averaging in Gossip Networks

Fuente: arXiv
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Autores principales: Bayram, Erkan, Belabbas, Mohamed-Ali
Formato: Preprint
Publicado: 2025
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author Bayram, Erkan
Belabbas, Mohamed-Ali
author_facet Bayram, Erkan
Belabbas, Mohamed-Ali
contents The convergence of the gossip process has been extensively studied; however, algorithms that generate a set of stochastic matrices, the infinite product of which converges to a rank-one matrix determined by a given weight vector, have been less explored. In this work, we propose an algorithm for constructing (local) stochastic matrices based on a given gossip network topology and a set of weights for averaging across different consensus clusters, ensuring that the gossip process converges to a finite limit set.
format Preprint
id arxiv_https___arxiv_org_abs_2502_19821
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Constructing Stochastic Matrices for Weighted Averaging in Gossip Networks
Bayram, Erkan
Belabbas, Mohamed-Ali
Optimization and Control
Multiagent Systems
The convergence of the gossip process has been extensively studied; however, algorithms that generate a set of stochastic matrices, the infinite product of which converges to a rank-one matrix determined by a given weight vector, have been less explored. In this work, we propose an algorithm for constructing (local) stochastic matrices based on a given gossip network topology and a set of weights for averaging across different consensus clusters, ensuring that the gossip process converges to a finite limit set.
title Constructing Stochastic Matrices for Weighted Averaging in Gossip Networks
topic Optimization and Control
Multiagent Systems
url https://arxiv.org/abs/2502.19821