Decentralized Distributed Graph Coloring: Cluster Graphs

Graph coloring is fundamental to distributed computing. We give the first sub-logarithmic distributed algorithm for coloring cluster graphs. These graphs are obtained from the underlying communication network by contracting nodes and edges, and they appear frequently as components in the study of distributed algorithms. In particular, we give a O (log* n)-round algorithm to (Δ + 1)-color cluster graphs of at least polylogarithmic degree. The previous best bound known was poly(log n) [Flin et al., SODA'24]. This properly generalizes results in the CONGEST model and shows that distributed graph problems can be solved quickly even when the node itself is decentralized.

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Published
2025-06-13
DOI
https://doi.org/10.1145/3732772.3733549
Primary Topic
Advanced Graph Theory Research
Type
article
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article

Decentralized Distributed Graph Coloring: Cluster Graphs

Alexandre Nolin, Magnús M. Halldórsson, Maxime Flin
Advanced Graph Theory Research
article

Decentralized Distributed Graph Coloring: Cluster Graphs

Alexandre Nolin, Magnús M. Halldórsson, Maxime Flin
article en

Abstract

Graph coloring is fundamental to distributed computing. We give the first sub-logarithmic distributed algorithm for coloring cluster graphs. These graphs are obtained from the underlying communication network by contracting nodes and edges, and they appear frequently as components in the study of distributed algorithms. In particular, we give a O (log* n)-round algorithm to (Δ + 1)-color cluster graphs of at least polylogarithmic degree. The previous best bound known was poly(log n) [Flin et al., SODA'24]. This properly generalizes results in the CONGEST model and shows that distributed graph problems can be solved quickly even when the node itself is decentralized.

Reykjavík University (IS), Helmholtz Center for Information Security (DE)
Openalex Percentile: Top 85%
Advanced Graph Theory Research
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