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Inner Product and Set Disjointness: Beyond Logarithmically Many Parties

Published: 25 November 2020 Publication History

Abstract

A major goal in complexity theory is to understand the communication complexity of number-on-the-forehead problems f:({0, 1} n)k → {0, 1} with k > log n parties. We study the problems of inner product and set disjointness and determine their randomized communication complexity for every k ≥ log n, showing in both cases that Θ(1 + ⌈log n⌉/ log ⌈1 + k/ log n⌉) bits are necessary and sufficient. In particular, these problems admit constant-cost protocols if and only if the number of parties is knϵ for some constant ϵ > 0.

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  1. Inner Product and Set Disjointness: Beyond Logarithmically Many Parties

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    cover image ACM Transactions on Computation Theory
    ACM Transactions on Computation Theory  Volume 12, Issue 4
    December 2020
    156 pages
    ISSN:1942-3454
    EISSN:1942-3462
    DOI:10.1145/3427631
    Issue’s Table of Contents
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    Publication History

    Published: 25 November 2020
    Accepted: 01 August 2020
    Received: 01 January 2018
    Published in TOCT Volume 12, Issue 4

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    Author Tags

    1. Communication complexity
    2. inner product
    3. number on the forehead
    4. set disjointness

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    • HSE University Basic Research Program
    • NSF CAREER award
    • Alfred P. Sloan Foundation

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