Average Consensus with Dynamic Compression in Bandwidth-Limited Directed Networks

Fuente: arXiv
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Main Authors: Makridis, Evagoras, Oliva, Gabriele, Rikos, Apostolos I., Charalambous, Themistoklis
Format: Preprint
Published: 2025
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author Makridis, Evagoras
Oliva, Gabriele
Rikos, Apostolos I.
Charalambous, Themistoklis
author_facet Makridis, Evagoras
Oliva, Gabriele
Rikos, Apostolos I.
Charalambous, Themistoklis
contents In this paper, the average consensus problem has been considered for directed unbalanced networks under finite bit-rate communication. We propose the Push-Pull Average Consensus algorithm with Dynamic Compression (PP-ACDC) algorithm, a distributed consensus algorithm that deploys an adaptive quantization scheme and achieves convergence to the exact average without the need of global information. A preliminary numerical convergence analysis and simulation results corroborate the performance of PP-ACDC.
format Preprint
id arxiv_https___arxiv_org_abs_2508_06893
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Average Consensus with Dynamic Compression in Bandwidth-Limited Directed Networks
Makridis, Evagoras
Oliva, Gabriele
Rikos, Apostolos I.
Charalambous, Themistoklis
Systems and Control
In this paper, the average consensus problem has been considered for directed unbalanced networks under finite bit-rate communication. We propose the Push-Pull Average Consensus algorithm with Dynamic Compression (PP-ACDC) algorithm, a distributed consensus algorithm that deploys an adaptive quantization scheme and achieves convergence to the exact average without the need of global information. A preliminary numerical convergence analysis and simulation results corroborate the performance of PP-ACDC.
title Average Consensus with Dynamic Compression in Bandwidth-Limited Directed Networks
topic Systems and Control
url https://arxiv.org/abs/2508.06893