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  • 标题:One-Round Multi-Party Communication Complexity of Distinguishing Sums
  • 本地全文:下载
  • 作者:Daniel Apon ; Jonathan Katz ; Alex Malozemoff
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:2013
  • 卷号:2013
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:

    We consider an instance of the following problem: Parties P1Pk each receive an input xi, and a coordinator (distinct from each of these parties) wishes to compute f(x1xk) for some predicate f. We are interested in one-round protocols where each party sends a single message to the coordinator; there is no communication between the parties themselves. What is the minimum communication complexity needed to compute f, possibly with bounded error?

    We prove tight bounds on the one-round communication complexity when f corresponds to the promise problem of distinguishing sums (namely, determining which of two possible values the xi sum to) or the problem of determining whether they sum to a particular value. Similar problems were studied previously by Nisan and in concurrent work by Viola. Our proofs rely on basic theorems from additive combinatorics, but are otherwise elementary

  • 关键词:Communication complexity
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