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        <identifier>oai:drops-oai.dagstuhl.de:19133</identifier>
        <datestamp>2024-03-06T11:03:30Z</datestamp>
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          <dc:title>On the Node-Averaged Complexity of Locally Checkable Problems on Trees</dc:title>
          <dc:creator>Balliu, Alkida</dc:creator>
          <dc:creator>Brandt, Sebastian</dc:creator>
          <dc:creator>Kuhn, Fabian</dc:creator>
          <dc:creator>Olivetti, Dennis</dc:creator>
          <dc:creator>Schmid, Gustav</dc:creator>
          <dc:subject>distributed graph algorithms</dc:subject>
          <dc:subject>locally checkable labelings</dc:subject>
          <dc:subject>node-averaged complexity</dc:subject>
          <dc:subject>trees</dc:subject>
          <dc:description>Over the past decade, a long line of research has investigated the distributed complexity landscape of locally checkable labeling (LCL) problems on bounded-degree graphs, culminating in an almost-complete classification on general graphs and a complete classification on trees. The latter states that, on bounded-degree trees, any LCL problem has deterministic worst-case time complexity O(1), Θ(log^* n), Θ(log n), or Θ(n^{1/k}) for some positive integer k, and all of those complexity classes are nonempty. Moreover, randomness helps only for (some) problems with deterministic worst-case complexity Θ(log n), and if randomness helps (asymptotically), then it helps exponentially.&#13;
In this work, we study how many distributed rounds are needed on average per node in order to solve an LCL problem on trees. We obtain a partial classification of the deterministic node-averaged complexity landscape for LCL problems. As our main result, we show that every problem with worst-case round complexity O(log n) has deterministic node-averaged complexity O(log^* n). We further establish bounds on the node-averaged complexity of problems with worst-case complexity Θ(n^{1/k}): we show that all these problems have node-averaged complexity Ω̃(n^{1 / (2^k - 1)}), and that this lower bound is tight for some problems.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Alkida Balliu and Sebastian Brandt and Fabian Kuhn and Dennis Olivetti and Gustav Schmid</dc:contributor>
          <dc:date>2023</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 281, 37th International Symposium on Distributed Computing (DISC 2023)</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.DISC.2023.7</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-191330</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.DISC.2023.7</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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