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Distributed optimization and approximation: How difficult can it be?

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We know that exact distributed algorithms for optimization problems cannot be fast. To overcome these barriers, very efficient approximation algorithms have been designed in various distributed settings. But for very small approximation factors, a mystery remains: Why do we not have fast distributed algorithms for very small approximations factors in bandwidth restricted settings? This talk will overview the state-of-the-art of distributed optimization and approximation algorithms and discuss the major challenges in determining the complexity of small approximations.

Original languageEnglish
Title of host publication23rd International Conference on Principles of Distributed Systems, OPODIS 2019
EditorsPascal Felber, Roy Friedman, Seth Gilbert, Avery Miller
ISBN (Electronic)9783959771337
DOIs
StatePublished - Feb 2020
Event23rd International Conference on Principles of Distributed Systems, OPODIS 2019 - Neuchatel, Switzerland
Duration: 17 Dec 201919 Dec 2019

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume153

Conference

Conference23rd International Conference on Principles of Distributed Systems, OPODIS 2019
Country/TerritorySwitzerland
CityNeuchatel
Period17/12/1919/12/19

Keywords

  • And phrases Distributed graph algorithms
  • Approximations
  • Optimization

All Science Journal Classification (ASJC) codes

  • Software

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