| Unconditional lower bounds on the time-approximation tradeoffs for the distributed minimum spanning tree problem |
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Annual ACM Symposium on Theory of Computing
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Proceedings of the thirty-sixth annual ACM symposium on Theory of computing
table of contents
Chicago, IL, USA
SESSION: Session 8B
table of contents
Pages: 331 - 340
Year of Publication: 2004
ISBN:1-58113-852-0
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Downloads (6 Weeks): 5, Downloads (12 Months): 47, Citation Count: 8
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ABSTRACT
The design of distributed approximation protocols is a relatively new rapidly developing area of research. However, so far little progress was done in the study of the hardness of distributed approximation. In this paper we initiate the systematic study of this subject, and show strong unconditional lower bounds on the time-approximation tradeoff of the distributed minimum spanning tree problem, and some of its variants.
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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CITED BY 8
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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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