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Fast Distributed Vertex Splitting with Applications

Authors Magnús M. Halldórsson , Yannic Maus , Alexandre Nolin

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ACM Subject Classification
  • Theory of computation → Distributed algorithms
Keywords
  • Graph problems
  • Edge coloring
  • List coloring
  • Lovász local lemma
  • LOCAL model
  • CONGEST model
  • Distributed computing

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Abstract

We present poly log log n-round randomized distributed algorithms to compute vertex splittings, a partition of the vertices of a graph into k parts such that a node of degree d(u) has ≈ d(u)/k neighbors in each part. Our techniques can be seen as the first progress towards general poly log log n-round algorithms for the Lovász Local Lemma. 
As the main application of our result, we obtain a randomized poly log log n-round CONGEST algorithm for (1+ε)Δ-edge coloring n-node graphs of sufficiently large constant maximum degree Δ, for any ε > 0. Further, our results improve the computation of defective colorings and certain tight list coloring problems. All the results improve the state-of-the-art round complexity exponentially, even in the LOCAL model.

Cite As Get BibTex

Magnús M. Halldórsson, Yannic Maus, and Alexandre Nolin. Fast Distributed Vertex Splitting with Applications. In 36th International Symposium on Distributed Computing (DISC 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 246, pp. 26:1-26:24, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022) https://doi.org/10.4230/LIPIcs.DISC.2022.26

Author Details

Magnús M. Halldórsson
  • Reykjavik University, Iceland
Yannic Maus
  • TU Graz, Austria
Alexandre Nolin
  • Reykjavik University, Iceland
  • CISPA, Saarbrücken, Germany

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