On Adversary Robust Consensus protocols through joint-agent interactions

Fuente: arXiv
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Hauptverfasser: Angeli, David, Manfredi, Sabato
Format: Preprint
Veröffentlicht: 2019
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author Angeli, David
Manfredi, Sabato
author_facet Angeli, David
Manfredi, Sabato
contents A generalized family of Adversary Robust Consensus protocols is proposed and analyzed. These are distributed algorithms for multi-agents systems seeking to agree on a common value of a shared variable, even in the presence of faulty or malicious agents which are updating their local state according to the protocol rules. In particular, we adopt monotone joint-agent interactions, a very general mechanism for processing locally available information and allowing cross-comparisons between state-values of multiple agents simultaneously. The salient features of the proposed class of algorithms are abstracted as a Petri Net and convergence criteria for the resulting time evolutions formulated by employing structural invariants of the net.
format Preprint
id arxiv_https___arxiv_org_abs_1901_02725
institution arXiv
publishDate 2019
record_format arxiv
spellingShingle On Adversary Robust Consensus protocols through joint-agent interactions
Angeli, David
Manfredi, Sabato
Systems and Control
93-XX
A generalized family of Adversary Robust Consensus protocols is proposed and analyzed. These are distributed algorithms for multi-agents systems seeking to agree on a common value of a shared variable, even in the presence of faulty or malicious agents which are updating their local state according to the protocol rules. In particular, we adopt monotone joint-agent interactions, a very general mechanism for processing locally available information and allowing cross-comparisons between state-values of multiple agents simultaneously. The salient features of the proposed class of algorithms are abstracted as a Petri Net and convergence criteria for the resulting time evolutions formulated by employing structural invariants of the net.
title On Adversary Robust Consensus protocols through joint-agent interactions
topic Systems and Control
93-XX
url https://arxiv.org/abs/1901.02725