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Communication complexity with small advantage

Published: 22 June 2018 Publication History
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  • Abstract

    We study problems in randomized communication complexity when the protocol is only required to attain some small advantage over purely random guessing, i.e., it produces the correct output with probability at least ϵ greater than one over the codomain size of the function. Previously, Braverman and Moitra (STOC 2013) showed that the set-intersection function requires Θ(ϵn) communication to achieve advantage ϵ. Building on this, we prove the same bound for several variants of set-intersection: (1) the classic "tribes" function obtained by composing with And (provided 1/ϵ is at most the width of the And), and (2) the variant where the sets are uniquely intersecting and the goal is to determine partial information about (say, certain bits of the index of) the intersecting coordinate.

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    Cited By

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    • (2020)A Lower Bound for Sampling Disjoint SetsACM Transactions on Computation Theory10.1145/340485812:3(1-13)Online publication date: 20-Jul-2020

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    1. Communication complexity with small advantage

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      cover image ACM Conferences
      CCC '18: Proceedings of the 33rd Computational Complexity Conference
      June 2018
      663 pages
      ISBN:9783959770699

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      Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik

      Dagstuhl, Germany

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      Published: 22 June 2018

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      Author Tags

      1. advantage
      2. communication
      3. complexity
      4. small

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      CCC '18
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      CCC '18: 33rd Computational Complexity Conference
      June 22 - 24, 2018
      California, San Diego

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      • (2020)A Lower Bound for Sampling Disjoint SetsACM Transactions on Computation Theory10.1145/340485812:3(1-13)Online publication date: 20-Jul-2020

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