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ABSTRACT
Recently considerable progress was achieved in designing efficient distributed approximation algorithms, and in demonstrating hardness of distributed approximation for various problems. In this survey we overview the research in this area and propose several directions for future research.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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[doi> 10.1145/1011767.1011791]
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CITED BY 6
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Maleq Khan , Fabian Kuhn , Dahlia Malkhi , Gopal Pandurangan , Kunal Talwar, Efficient distributed approximation algorithms via probabilistic tree embeddings, Proceedings of the twenty-seventh ACM symposium on Principles of distributed computing, August 18-21, 2008, Toronto, Canada
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