Decentralized Distributed Graph Coloring: Cluster Graphs
Distributed, Parallel, and Cluster Computing
2025-06-17 v2 Data Structures and Algorithms
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 -round algorithm to -color cluster graphs of at least polylogarithmic degree. The previous best bound known was [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.
Keywords
Cite
@article{arxiv.2405.07725,
title = {Decentralized Distributed Graph Coloring: Cluster Graphs},
author = {Maxime Flin and Magnus M. Halldorsson and Alexandre Nolin},
journal= {arXiv preprint arXiv:2405.07725},
year = {2025}
}
Comments
81 pages, accepted to PODC 2025