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Alexandre Nolin

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4 papers
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4

STOC Conference 2025 Conference Paper

Faster Distributed Δ-Coloring via Ruling Subgraphs

  • Yann Bourreau
  • Sebastian Brandt 0002
  • Alexandre Nolin

Brooks’ theorem states that all connected graphs but odd cycles and cliques can be colored with Δ colors, where Δ is the maximum degree of the graph. Such colorings have been shown to admit non-trivial distributed algorithms [Panconesi and Srinivasan, Combinatorica 1995] and have been studied intensively in the distributed literature. In particular, it is known that any deterministic algorithm computing a Δ-coloring requires Ω(log n ) rounds in the LOCAL model [Chang, Kopelowitz, and Pettie, FOCS 2016], and that this lower bound holds already on constant-degree graphs. In contrast, the best upper bound in this setting is given by an O (log 2 n )-round deterministic algorithm that can be inferred already from the works of [Awerbuch, Goldberg, Luby, and Plotkin, FOCS 1989] and [Panconesi and Srinivasan, Combinatorica 1995] roughly three decades ago, raising the fundamental question about the true complexity of Δ-coloring in the constant-degree setting. We answer this long-standing question almost completely by providing an almost-optimal deterministic O (log n log * n )-round algorithm for Δ-coloring, matching the lower bound up to a log * n -factor. Similarly, in the randomized LOCAL model, we provide an O (loglog n log * n )-round algorithm, improving over the state-of-the-art upper bound of O (log 2 log n ) [Ghaffari, Hirvonen, Kuhn, and Maus, Distributed Computing 2021] and almost matching the Ω(loglog n )-round lower bound by [BFHKLRSU, STOC 2016]. Our results make progress on several important open problems and conjectures. One key ingredient for obtaining our results is the introduction of ruling subgraph families as a novel tool for breaking symmetry between substructures of a graph, which we expect to be of independent interest.

TCS Journal 2023 Journal Article

Superfast coloring in CONGEST via efficient color sampling

  • Magnús M. Halldórsson
  • Alexandre Nolin

We present a procedure for efficiently sampling colors in the CONGEST model. It allows nodes whose number of colors exceeds their number of neighbors by a constant fraction to sample up to Θ ( log ⁡ n ) semi-random colors unused by their neighbors in O ( 1 ) rounds, even in the distance-2 setting. This yields algorithms with O ( log ⁎ ⁡ Δ ) complexity for different edge-coloring, vertex coloring, and distance-2 coloring problems, matching the best possible. In particular, we obtain an O ( log ⁎ ⁡ Δ ) -round CONGEST algorithm for ( 1 + ϵ ) Δ -edge coloring when Δ = Ω ( log 1 + 1 / log ⁎ ⁡ n ⁡ n ), and a poly ( log ⁡ log ⁡ n ) -round algorithm for ( 2 Δ − 1 ) -edge coloring in general. The sampling procedure is inspired by a seminal result of Newman in communication complexity.

STOC Conference 2022 Conference Paper

Near-optimal distributed degree+1 coloring

  • Magnús M. Halldórsson
  • Fabian Kuhn
  • Alexandre Nolin
  • Tigran Tonoyan

We present a new approach to randomized distributed graph coloring that is simpler and more efficient than previous ones. In particular, it allows us to tackle the (deg+1)-list-coloring (D1LC) problem, where each node v of degree d v is assigned a palette of d v +1 colors, and the objective is to find a proper coloring using these palettes. While for (Δ+1)-coloring (where Δ is the maximum degree), there is a fast randomized distributed O (log 3 log n )-round algorithm due to Chang, Li, and Pettie, no o (log n )-round algorithms are known for the D1LC problem.

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