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Aperta - TÜBİTAK Açık Arşivi
Other literature type . 2017
License: CC BY
https://doi.org/10.1109/cdc.20...
Article . 2017 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object
Data sources: DBLP
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Distributed consensus in resilient networks

Authors: Halil Yigit Öksüz; Mehmet Akar;

Distributed consensus in resilient networks

Abstract

In this paper, we investigate the necessary and sufficient conditions on the network for non-faulty nodes to reach consensus using only local information in the presence of structured Byzantine (StrBYZ) faulty agents. After presenting a new fault model classification, we carry out the analysis not only on the original network but also on the expanded network built on copies of faulty nodes. It is shown that non-faulty nodes achieve consensus without using any fault tolerant algorithm if and only if they are in the same layer with at least one in-neighbor. The theoretical results are also illustrated with numerical results.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Top 10%
Green