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Flipping Persuasively in Constant Time

Authors: Cynthia Dwork; David B. Shmoys; Larry J. Stockmeyer;

Flipping Persuasively in Constant Time

Abstract

A persuasive coin is a sufficiently unbiased source of randomness visible to sufficiently many processors in a distributed system. An algorithm is described for achieving a persuasive coin in the presence of an extremely powerful adversary where the number of rounds of message exchange among the processors is constant, independent of the number n of processors in the system as well as the number of faults, provided the total number of faulty processors does not exceed a certain constant multiple of $n/\log n$. As a corollary an $\Omega (n/\log n)$-resilient probabilistic protocol for Byzantine agreement running in constant expected time is obtained. Combining this with a generalization of a technique of Bracha, a probabilistic Byzantine agreement protocol tolerant of almost ${n / 4}$ failures with $O(\log \log n)$ expected running time is obtained.

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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!
13
Average
Top 10%
Average
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