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        <datestamp>2024-03-06T10:51:33Z</datestamp>
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          <dc:title>Local Conflict Coloring Revisited: Linial for Lists</dc:title>
          <dc:creator>Maus, Yannic</dc:creator>
          <dc:creator>Tonoyan, Tigran</dc:creator>
          <dc:subject>distributed graph coloring</dc:subject>
          <dc:subject>list coloring</dc:subject>
          <dc:subject>low intersecting set families</dc:subject>
          <dc:description>Linial’s famous color reduction algorithm reduces a given m-coloring of a graph with maximum degree Δ to a O(Δ²log m)-coloring, in a single round in the LOCAL model. We show a similar result when nodes are restricted to choose their color from a list of allowed colors: given an m-coloring in a directed graph of maximum outdegree β, if every node has a list of size Ω(β² (log β+log log m + log log |𝒞|)) from a color space 𝒞 then they can select a color in two rounds in the LOCAL model. Moreover, the communication of a node essentially consists of sending its list to the neighbors. This is obtained as part of a framework that also contains Linial’s color reduction (with an alternative proof) as a special case. Our result also leads to a defective list coloring algorithm. As a corollary, we improve the state-of-the-art truly local (deg+1)-list coloring algorithm from Barenboim et al. [PODC'18] by slightly reducing the runtime to O(√{ΔlogΔ})+log^* n and significantly reducing the message size (from huge to roughly Δ). Our techniques are inspired by the local conflict coloring framework of Fraigniaud et al. [FOCS'16].</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Yannic Maus and Tigran Tonoyan</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>
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          <dc:identifier>doi:10.4230/LIPIcs.DISC.2020.16</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-130944</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.DISC.2020.16</dc:identifier>
          <dc:language>eng</dc:language>
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