Network Decomposition and Distributed Derandomization

M. Ghaffari
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引用次数: 2

Abstract

This keynote talk will provide an overview of a recent line of work [Rozhoň and Ghaffari at STOC 2020; Ghaffari, Harris, and Kuhn at FOCS 2018; and Ghaffari, Kuhn, and Maus at STOC 2017], which presented the first efficient deterministic network decomposition algorithm as well as a general derandomization result for distributed graph algorithms. Informally, the derandomization result shows that any (locally-checkable) graph problem that admits an efficient randomized distributed algorithm also admits an efficient deterministic distributed algorithm. These results resolve several central and decades-old open problems in distributed graph algorithms.
网络分解与分布式非随机化
本次主题演讲将概述最近的工作[rozhokov和Ghaffari在STOC 2020;在FOCS 2018上,Ghaffari、Harris和Kuhn;和Ghaffari, Kuhn, and Maus在STOC 2017],他们提出了第一个高效的确定性网络分解算法以及分布式图算法的一般非随机化结果。非正式地,非随机化结果表明,任何(局部可检查的)图问题都承认有效的随机分布算法,也承认有效的确定性分布算法。这些结果解决了分布式图算法中几个核心和几十年来的开放问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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