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Hardness of Distributed Optimization

Published: 16 July 2019 Publication History

Abstract

This paper studies lower bounds for fundamental optimization problems in the CONGEST model. We show that solving problems exactly in this model can be a hard task, by providing tildeΩmega (n2) lower bounds for cornerstone problems, such as minimum dominating set (MDS), Hamiltonian path, Steiner tree and max-cut. These are almost tight, since all of these problems can be solved optimally in O(n2) rounds. Moreover, we show that even in bounded-degree graphs and even in simple graphs with maximum degree 5 and logarithmic diameter, it holds that various tasks, such as finding a maximum independent set (MaxIS) or a minimum vertex cover, are still difficult, requiring a near-tight number of tildeΩ (n) rounds.
Furthermore, we show that in some cases even approximations are difficult, by providing an tildeΩ (n2) lower bound for a (7/8+ε)-approximation for MaxIS, and a nearly-linear lower bound for an O(log n )-approximation for the k-MDS problem for any constant k geq≥ 2, as well as for several variants of the Steiner tree problem.
Our lower bounds are based on a rich variety of constructions that leverage novel observations, and reductions among problems that are specialized for the CONGEST model. However, for several additional approximation problems, as well as for exact computation of some central problems in P, such as maximum matching and max flow, we show that such constructions cannot be designed, by which we exemplify some limitations of this framework.

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cover image ACM Conferences
PODC '19: Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing
July 2019
563 pages
ISBN:9781450362177
DOI:10.1145/3293611
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 16 July 2019

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Author Tags

  1. approximation algorithms
  2. communication complexity
  3. congest
  4. distributed computing
  5. optimization problems

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PODC '19
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PODC '19: ACM Symposium on Principles of Distributed Computing
July 29 - August 2, 2019
Toronto ON, Canada

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PODC '19 Paper Acceptance Rate 48 of 173 submissions, 28%;
Overall Acceptance Rate 740 of 2,477 submissions, 30%

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  • (2024)(Δ+1) Vertex Coloring in O(n) CommunicationProceedings of the 43rd ACM Symposium on Principles of Distributed Computing10.1145/3662158.3662796(416-424)Online publication date: 17-Jun-2024
  • (2024)On Distributed Computation of the Minimum Triangle Edge TransversalStructural Information and Communication Complexity10.1007/978-3-031-60603-8_19(336-358)Online publication date: 23-May-2024
  • (2023)Recent Advances in Multi-Pass Graph Streaming Lower BoundsACM SIGACT News10.1145/3623800.362380854:3(48-75)Online publication date: 11-Sep-2023
  • (2023)The Complexity of Distributed Approximation of Packing and Covering Integer Linear ProgramsProceedings of the 2023 ACM Symposium on Principles of Distributed Computing10.1145/3583668.3594562(32-43)Online publication date: 19-Jun-2023
  • (2022)A Subquadratic-Time Distributed Algorithm for Exact Maximum MatchingIEICE Transactions on Information and Systems10.1587/transinf.2021EDP7083E105.D:3(634-645)Online publication date: 1-Mar-2022
  • (2022)Narrowing the LOCAL-CONGEST Gaps in Sparse Networks via Expander DecompositionsProceedings of the 2022 ACM Symposium on Principles of Distributed Computing10.1145/3519270.3538423(301-312)Online publication date: 20-Jul-2022
  • (2022)Fully Polynomial-Time Distributed Computation in Low-Treewidth GraphsProceedings of the 34th ACM Symposium on Parallelism in Algorithms and Architectures10.1145/3490148.3538590(11-22)Online publication date: 11-Jul-2022
  • (2022)Distributed distance-r covering problems on sparse high-girth graphsTheoretical Computer Science10.1016/j.tcs.2022.01.001Online publication date: Jan-2022
  • (2021)Smaller Cuts, Higher Lower BoundsACM Transactions on Algorithms10.1145/346983417:4(1-40)Online publication date: 4-Oct-2021
  • (2021)Input-Dynamic Distributed Algorithms for Communication NetworksProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/34473845:1(1-33)Online publication date: 22-Feb-2021
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