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        <datestamp>2024-03-06T10:42:03Z</datestamp>
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          <dc:title>A Candidate for a Strong Separation of Information and Communication</dc:title>
          <dc:creator>Braverman, Mark</dc:creator>
          <dc:creator>Ganor, Anat</dc:creator>
          <dc:creator>Kol, Gillat</dc:creator>
          <dc:creator>Raz, Ran</dc:creator>
          <dc:subject>communication complexity</dc:subject>
          <dc:subject>amortized communication complexity</dc:subject>
          <dc:subject>communication compression</dc:subject>
          <dc:subject>direct sum</dc:subject>
          <dc:subject>information complexity</dc:subject>
          <dc:description>The weak interactive compression conjecture asserts that any two-party communication protocol with communication complexity C and information complexity I can be compressed to a protocol with communication complexity poly(I)polylog(C).&#13;
&#13;
We describe a communication problem that is a candidate for refuting that conjecture. Specifically, while we show that the problem can be solved by a protocol with communication complexity C and information complexity I=polylog(C), the problem seems to be hard for protocols with communication complexity poly(I)polylog(C)=polylog(C).</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Mark Braverman and Anat Ganor and Gillat Kol and Ran Raz</dc:contributor>
          <dc:date>2018</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 94, 9th Innovations in Theoretical Computer Science Conference (ITCS 2018)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ITCS.2018.11</dc:identifier>
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