On the Locality of Hall's Theorem
Sebastian Brandt, Yannic Maus, Ananth Narayanan, Florian Schager and, Jara Uitto

TL;DR
This paper introduces a novel distributed algorithmic technique based on a local version of Hall's theorem, significantly improving bounds for fundamental graph problems like edge coloring and matchings.
Contribution
The authors develop a new method that allows nodes to find local solutions consistent with each other without coordination, closing the gap between lower and upper bounds in distributed graph algorithms.
Findings
Achieved an $O( ext{log} n)$-round algorithm for $3 ext{Δ}/2$-edge coloring.
Improved bounds for bipartite saturating matchings and hypergraph sinkless orientation.
Provided a framework that may be of independent interest for distributed algorithm design.
Abstract
The last five years of research on distributed graph algorithms have seen huge leaps of progress, both regarding algorithmic improvements and impossibility results: new strong lower bounds have emerged for many central problems and exponential improvements over the state of the art have been achieved for the runtimes of many algorithms. Nevertheless, there are still large gaps between the best known upper and lower bounds for many important problems. The current lower bound techniques for deterministic algorithms are often tailored to obtaining a logarithmic bound and essentially cannot be used to prove lower bounds beyond . In contrast, the best deterministic upper bounds are often polylogarithmic, raising the fundamental question of how to resolve the gap between logarithmic lower and polylogarithmic upper bounds and finally obtain tight bounds. We develop a novel…
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Taxonomy
TopicsMatrix Theory and Algorithms
