Deterministic Distributed (Delta + o(\Delta))-Edge-Coloring, and Vertex-Coloring of Graphs with Bounded Diversity
Leonid Barenboim, Michael Elkin, Tzalik Maimon

TL;DR
This paper introduces deterministic distributed algorithms for edge-coloring and vertex-coloring in graphs with bounded diversity, achieving near-optimal color usage and polylogarithmic running times for broad graph families.
Contribution
It presents novel deterministic algorithms for edge-coloring with Delta + o(Delta) colors and improved methods for graphs with bounded diversity, extending the applicability and efficiency of distributed coloring.
Findings
Edge-coloring with Delta + o(Delta) colors in polylogarithmic time for graphs with arboricity O(Delta^{1 - epsilon})
Improved deterministic algorithms for hi-edge-coloring over a wide parameter range
Applicable to vertex-coloring of line graphs, hypergraph line graphs, and graphs with bounded diversity
Abstract
We consider coloring problems in the distributed message-passing setting. The previously-known deterministic algorithms for edge-coloring employed at least (2Delta - 1) colors, even though any graph admits an edge-coloring with Delta + 1 colors [V64]. Moreover, the previously-known deterministic algorithms that employed at most O(Delta) colors required superlogarithmic time [B15,BE10,BE11,FHK15]. In the current paper we devise deterministic edge-coloring algorithms that employ only Delta + o(Delta) colors, for a very wide family of graphs. Specifically, as long as the arboricity is a = O(Delta^{1 - \epsilon}), for a constant epsilon > 0, our algorithm computes such a coloring within {polylogarithmic} deterministic time. We also devise significantly improved deterministic edge-coloring algorithms for {general graphs} for a very wide range of parameters. Specifically, for any value …
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComplexity and Algorithms in Graphs · Cooperative Communication and Network Coding · Privacy-Preserving Technologies in Data
