English

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 O(logn)O(\log^* n)-round algorithm to (Δ+1)(\Delta+1)-color cluster graphs of at least polylogarithmic degree. The previous best bound known was poly(logn)\operatorname{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.

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

R2 v1 2026-06-28T16:25:21.213Z