LIPIcs.OPODIS.2019.2.pdf
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Distributed Optimization And Approximation: How Difficult Can It Be? (Keynote Abstract)
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23rd International Conference on Principles of Distributed Systems (OPODIS 2019)
Series: Leibniz International Proceedings in Informatics (LIPIcs)
Conference: International Conference on Principles of Distributed Systems (OPODIS) - License:
Creative Commons Attribution 3.0 Unported license
- Publication Date: 2020-02-11
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Keren Censor-Hillel. Distributed Optimization And Approximation: How Difficult Can It Be? (Keynote Abstract). In 23rd International Conference on Principles of Distributed Systems (OPODIS 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 153, p. 2:1, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)
https://doi.org/10.4230/LIPIcs.OPODIS.2019.2
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.
Subject Classification
ACM Subject Classification
- Theory of computation → Distributed algorithms
- Mathematics of computing → Approximation algorithms
Keywords
- Distributed graph algorithms
- Optimization and approximations
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