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Interactive Coding for Multiparty Protocols

Published:11 January 2015Publication History

ABSTRACT

The problem of constructing error-resilient interactive protocols was introduced in the seminal works of Schulman (FOCS 1992, STOC 1993). These works show how to convert any two-party interactive protocol into one that is resilient to constant-fraction of adversarial error, while blowing up the communication by only a constant factor.

In this work we extend the work of Schulman to the multi-party setting. We show how to convert any (non-adaptive) $n$-party protocol into one that is resilient to Θ(1/n)-fraction of adversarial error, while blowing up the communication by only a constant factor.

One might hope to get resilience to constant-fraction of errors, by restricting the adversary's error distribution, and allowing him to make at most a constant-fraction of errors per party. We present a black-box lower bound, showing that we cannot be resilient to such adversarial errors, even if we increase the communication by an arbitrary polynomial factor, assuming the error-resilient protocol has a fixed (non-adaptive) speaking order.

References

  1. Shweta Agrawal, Ran Gelles, and Amit Sahai. Adaptive protocols for interactive communication. CoRR, abs/1312.4182, 2013.Google ScholarGoogle Scholar
  2. Mark Braverman and Klim Efremenko. List and unique coding for interactive communication in the presence of adversarial noise. In FOCS, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Zvika Brakerski and Yael Tauman Kalai. Efficient interactive coding against adversarial noise. In FOCS, pages 160--166, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Zvika Brakerski and Moni Naor. Fast algorithms for interactive coding. In SODA, pages 443--456, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Mark Braverman and Anup Rao. Towards coding for maximum errors in interactive communication. In STOC, pages 159--166, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Mark Braverman. Towards deterministic tree code constructions. In ITCS, pages 161--167, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Kai-Min Chung, Rafael Pass, and Siddartha Telang. Knowledge-preserving interactive coding. In FOCS, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Mohsen Ghaffari and Bernhard Haeupler. Optimal error rates for interactive coding ii: Efficiency and list decoding. In FOCS, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Mohsen Gharffari, Bernhard Haeupler, and Madhu Sudan. Optimal error rates for interactive coding i: Adaptivity and other settings. In STOC, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Ran Gelles, Ankur Moitra, and Amit Sahai. Efficient and explicit coding for interactive communication. In FOCS, pages 768--777, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Bernhard Haeupler. Interactive channel capacity revisited. In FOCS, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. William Hoza. personal communication, 2014.Google ScholarGoogle Scholar
  13. Gillat Kol and Ran Raz. Interactive channel capacity. In STOC, pages 715--724, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Cristopher Moore and Leonard J. Schulman. Tree codes and a conjecture on exponential sums. CoRR, abs/1308.6007, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Sridhar Rajagopalan and Leonard J. Schulman. A coding theorem for distributed computation. In STOC, pages 790--799, 1994. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Leonard J. Schulman. Communication on noisy channels: A coding theorem for computation. In FOCS, pages 724--733, 1992. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Leonard J. Schulman. Deterministic coding for interactive communication. In STOC, pages 747--756, 1993. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Leonard J. Schulman. Coding for interactive communication. IEEE Transactions on Information Theory, 42(6):1745--1756, 1996. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Claude E. Shannon. A mathematical theory of communication. The Bell System Technical Journal, 27:379--423, 623--656, 1948.Google ScholarGoogle ScholarCross RefCross Ref

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      cover image ACM Conferences
      ITCS '15: Proceedings of the 2015 Conference on Innovations in Theoretical Computer Science
      January 2015
      404 pages
      ISBN:9781450333337
      DOI:10.1145/2688073

      Copyright © 2015 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 11 January 2015

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      ITCS '15 Paper Acceptance Rate45of159submissions,28%Overall Acceptance Rate172of513submissions,34%

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