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  • 标题:Randomized Communication vs. Partition Number
  • 本地全文:下载
  • 作者:Mika G{\"o}{\"o}s ; T. S. Jayram ; Toniann Pitassi
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2017
  • 卷号:80
  • 页码:52:1-52:15
  • DOI:10.4230/LIPIcs.ICALP.2017.52
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:We show that randomized communication complexity can be superlogarithmic in the partition number of the associated communication matrix, and we obtain near-optimal randomized lower bounds for the Clique vs. Independent Set problem. These results strengthen the deterministic lower bounds obtained in prior work (Goos, Pitassi, and Watson, FOCS 2015). One of our main technical contributions states that information complexity when the cost is measured with respect to only 1-inputs (or only 0-inputs) is essentially equivalent to information complexity with respect to all inputs.
  • 关键词:communication complexity; partition number; information complexity
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