2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS) 2016
DOI: 10.1109/ipdps.2016.62
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Towards a Restrained Use of Non-Equivocation for Achieving Iterative Approximate Byzantine Consensus

Abstract: We consider the approximate consensus problem in a partially connected network of n nodes where at most f nodes may suffer from Byzantine faults. We study under which conditions this problem can be solved using an iterative algorithm. A Byzantine node can equivocate: it may provide different values to its neighbors. To restrict the possibilities of equivocation, the 3-partial multicast primitive is considered. When a (correct or faulty) node uses this communication primitive, it provides necessarily the same v… Show more

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Cited by 5 publications
(3 citation statements)
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“…al. [18] extended this line of work to a network consisting of 3-hyperedges and 2-hyperedges. Vaidya et.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…al. [18] extended this line of work to a network consisting of 3-hyperedges and 2-hyperedges. Vaidya et.…”
Section: Related Workmentioning
confidence: 99%
“…This paper obtains tight necessary and sufficient conditions on the underlying communication network to be able to achieve Byzantine consensus under the local broadcast model. As summarized in Section 2, although there has been significant work [1,3,5,6,9,10,11,12,14,15,18,22,24,25,26,28,32] that uses either the local broadcast model or other models that restrict equivocation, tight necessary and sufficient conditions for Byzantine consensus under the local broadcast model have not been obtained previously. In particular, this paper makes the following contributions, some of which have been documented elsewhere [13,20,21] as well:…”
Section: Introductionmentioning
confidence: 99%
“…[2] looked at non-equivocation in complete graphs for asynchronous communication. Different works [5,6,9,16] investigate the impact of limiting equivocation via partial broadcast channels modeled as broadcast over hyperedges.…”
Section: Introductionmentioning
confidence: 99%