Improved Distributed Fractional Coloring Algorithms
Alkida Balliu, Fabian Kuhn, Dennis Olivetti

TL;DR
This paper introduces faster distributed algorithms for fractional graph coloring, achieving near-optimal approximation times in the LOCAL model, with significant improvements over previous bounds.
Contribution
It presents new distributed algorithms that compute fractional colorings efficiently, reducing round complexity and approximating the fractional chromatic number arbitrarily closely.
Findings
Fractional $( ext{Delta}+ ext{epsilon})$-colorings can be computed in $O( ext{log}^2 ext{Delta})$ rounds.
Arbitrary close approximation of the fractional chromatic number is achievable in $O(rac{ ext{log} n}{ ext{epsilon}})$ rounds.
Optimality of the algorithms is demonstrated with lower bounds in trees and regular grids.
Abstract
We prove new bounds on the distributed fractional coloring problem in the LOCAL model. Fractional -colorings can be understood as multicolorings as follows. For some natural numbers and such that , each node is assigned a set of at least colors from such that adjacent nodes are assigned disjoint sets of colors. The minimum for which a fractional -coloring of a graph exists is called the fractional chromatic number of . Recently, [Bousquet, Esperet, and Pirot; SIROCCO '21] showed that for any constant , a fractional -coloring can be computed in rounds. We show that such a coloring can be computed in only rounds, without any dependency on . We further show that in rounds, it is…
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Taxonomy
TopicsAdvanced Graph Theory Research
