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A Scalable Algorithm for Multiparty Interactive Communication with Private Channels

  • University of New Mexico

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

A group of n players wants to run a distributed protocol ρ over a network where communication occurs via private point-to-point channels. Unfortunately, an adversary, who knows P, is able to maliciously flip bits on the channels. Can we efficiently simulate ρ in the presence of such an adversary? We show that this is possible, even when L, the number of bits sent in ρ, and T, the number of bits flipped by the adversary are not known in advance. In particular, we show how to create a robust version of ρ, ρ' such that 1) ρ' fails with probability at most δ, for any δ > 0; and 2) ρ' sends Õ (L + T) bits, where the Õ notation hides a log(nL/δ) term multiplying L. Critically, our result requires that ρ be a protocol that runs correctly in an asynchronous network; in contrast, our protocol ρ' must run in a synchronous network. Additionally, we show how to improve this result when the average message size is not constant. In particular, we show how to create a protocol ρ' that sends O(L(1 + (1/α) log(nL/δ)) + T) bits, where α is the average message size. This new ρ' is adaptive in that it does not require a priori knowledge of α. We note that if α is Ω (log(nL/δ)), then this improved algorithm sends only O(L + T) bits, and is therefore within a constant factor of optimal.

Original languageEnglish
Title of host publicationACM International Conference Proceeding Series
PublisherAssociation for Computing Machinery
ISBN (Print)9781450377515
DOIs
StatePublished - 2020
Event21st International Conference on Distributed Computing and Networking, ICDCN 2020 - Kolkata, India
Duration: Jan 4 2020Jan 7 2020

Publication series

NameACM International Conference Proceeding Series
VolumePart F165625

Conference

Conference21st International Conference on Distributed Computing and Networking, ICDCN 2020
Country/TerritoryIndia
CityKolkata
Period01/4/2001/7/20

Keywords

  • Interactive Communication
  • Private Channels
  • Resource Competitive Analysis

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