Brief Announcement: Classification of Distributed Binary Labeling Problems

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Abstract

We present a complete classification of the deterministic distributed time complexity for a family of graph problems: binary labeling problems in trees in the usual LOCAL model of distributed computing. These are locally checkable problems that can be encoded with an alphabet of size two in the edge labeling formalism. Examples of binary labeling problems include sinkless orientation, sinkless and sourceless orientation, 2-vertex coloring, and perfect matching. We show that the complexity of any such problem is in one of the following classes: O(1), Θ(log n), Θ(n), or unsolvable. Furthermore, given the description of any binary labeling problem, we can easily determine in which of the four classes it is and what is an asymptotically optimal algorithm for solving it.

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Balliu, A., Brandt, S., Efron, Y., Hirvonen, J., Maus, Y., Olivetti, D., & Suomela, J. (2020). Brief Announcement: Classification of Distributed Binary Labeling Problems. In Proceedings of the Annual ACM Symposium on Principles of Distributed Computing (pp. 349–351). Association for Computing Machinery. https://doi.org/10.1145/3382734.3405703

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