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        <identifier>oai:drops-oai.dagstuhl.de:4724</identifier>
        <datestamp>2024-03-06T10:35:19Z</datestamp>
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          <dc:title>The Power of Super-logarithmic Number of Players</dc:title>
          <dc:creator>Chattopadhyay, Arkadev</dc:creator>
          <dc:creator>Saks, Michael E.</dc:creator>
          <dc:subject>Communication complexity</dc:subject>
          <dc:subject>Number-On-Forehead model</dc:subject>
          <dc:subject>composed functions</dc:subject>
          <dc:description>In the `Number-on-Forehead' (NOF) model of multiparty communication,&#13;
 the input is a k times m boolean matrix A (where k is the number of players) and Player i sees all bits except those in the i-th row, and the players communicate by broadcast in order to evaluate a specified function f at A.&#13;
&#13;
We discover new computational power when k exceeds log m. We give a protocol with communication cost poly-logarithmic in m, for block composed functions with limited block width.  These are functions &#13;
of the form f o g where f is a symmetric b-variate function, and g is a (kr)-variate function and (f o g)(A) is defined, for a k times (br) matrix to be f(g(A-1),...,g(A-b)) where A-i is the i-th (k times r) block of A. Our protocol works provided that k &gt; 1+ ln b + (2 to the power of r).  &#13;
&#13;
Ada et al. (ICALP'2012) previously obtained simultaneous and deterministic efficient protocols for composed functions of block-width one. The new protocol is the first to work for block composed functions with block-width greather than one. Moreover, it is simultaneous, with vanishingly small error probability, if public coin randomness is allowed. The deterministic and zero-error version barely uses interaction.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Arkadev Chattopadhyay and Michael E. Saks</dc:contributor>
          <dc:date>2014</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 28, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2014)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.APPROX-RANDOM.2014.596</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-47243</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX-RANDOM.2014.596</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/3.0/legalcode</dc:rights>
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