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        <datestamp>2024-03-06T10:51:36Z</datestamp>
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          <dc:title>Coloring Fast Without Learning Your Neighbors' Colors</dc:title>
          <dc:creator>Halldórsson, Magnús M.</dc:creator>
          <dc:creator>Kuhn, Fabian</dc:creator>
          <dc:creator>Maus, Yannic</dc:creator>
          <dc:creator>Nolin, Alexandre</dc:creator>
          <dc:subject>distributed graph coloring</dc:subject>
          <dc:subject>distance 2 coloring</dc:subject>
          <dc:subject>congestion</dc:subject>
          <dc:description>We give an improved randomized CONGEST algorithm for distance-2 coloring that uses Δ²+1 colors and runs in O(log n) rounds, improving the recent O(log Δ ⋅ log n)-round algorithm in [Halldórsson, Kuhn, Maus; PODC '20]. We then improve the time complexity to O(log Δ) + 2^{O(√{log log n})}.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Magnús M. Halldórsson and Fabian Kuhn and Yannic Maus and Alexandre Nolin</dc:contributor>
          <dc:date>2020</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 179, 34th International Symposium on Distributed Computing (DISC 2020)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.DISC.2020.39</dc:identifier>
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          <dc:language>eng</dc:language>
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