Locally Restricted Proof Labeling Schemes

Authors Yuval Emek, Yuval Gil, Shay Kutten



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Author Details

Yuval Emek
  • Technion - Israel Institute of Technology, Haifa, Israel
Yuval Gil
  • Technion - Israel Institute of Technology, Haifa, Israel
Shay Kutten
  • Technion - Israel Institute of Technology, Haifa, Israel

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Yuval Emek, Yuval Gil, and Shay Kutten. Locally Restricted Proof Labeling Schemes. In 36th International Symposium on Distributed Computing (DISC 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 246, pp. 20:1-20:22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022) https://doi.org/10.4230/LIPIcs.DISC.2022.20

Abstract

Introduced by Korman, Kutten, and Peleg (PODC 2005), a proof labeling scheme (PLS) is a distributed verification system dedicated to evaluating if a given configured graph satisfies a certain property. It involves a centralized prover, whose role is to provide proof that a given configured graph is a yes-instance by means of assigning labels to the nodes, and a distributed verifier, whose role is to verify the validity of the given proof via local access to the assigned labels. In this paper, we introduce the notion of a locally restricted PLS in which the prover’s power is restricted to that of a LOCAL algorithm with a polylogarithmic number of rounds. To circumvent inherent impossibilities of PLSs in the locally restricted setting, we turn to models that relax the correctness requirements by allowing the verifier to accept some no-instances as long as they are not "too far" from satisfying the property in question. To this end, we evaluate (1) distributed graph optimization problems (OptDGPs) based on the notion of an approximate proof labeling scheme (APLS) (analogous to the type of relaxation used in sequential approximation algorithms); and (2) configured graph families (CGFs) based on the notion of a testing proof labeling schemes (TPLS) (analogous to the type of relaxation used in property testing algorithms). The main contribution of the paper comes in the form of two generic compilers, one for OptDGPs and one for CGFs: given a black-box access to an APLS (resp., PLS) for a large class of OptDGPs (resp., CGFs), the compiler produces a locally restricted APLS (resp., TPLS) for the same problem, while losing at most a (1 + ε) factor in the scheme’s relaxation guarantee. An appealing feature of the two compilers is that they only require a logarithmic additive label size overhead.

Subject Classification

ACM Subject Classification
  • Theory of computation → Distributed algorithms
  • Theory of computation → Approximation algorithms analysis
Keywords
  • proof labeling schemes
  • generic compilers
  • SLOCAL algorithms

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References

  1. Noga Alon, Tali Kaufman, Michael Krivelevich, and Dana Ron. Testing triangle-freeness in general graphs. SIAM J. Discret. Math., 2008. Google Scholar
  2. B. Awerbuch, B. Patt-Shamir, and G. Varghese. Self-stabilization by local checking and correction. In Proceedings 32nd Annual Symposium of Foundations of Computer Science, pages 268-277, 1991. Google Scholar
  3. Baruch Awerbuch, Andrew V. Goldberg, Michael Luby, and Serge A. Plotkin. Network decomposition and locality in distributed computation. In 30th Annual Symposium on Foundations of Computer Science, Research Triangle Park, North Carolina, USA, 30 October - 1 November 1989, pages 364-369. IEEE Computer Society, 1989. Google Scholar
  4. Nir Bacrach, Keren Censor-Hillel, Michal Dory, Yuval Efron, Dean Leitersdorf, and Ami Paz. Hardness of distributed optimization. In Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing, 2019. Google Scholar
  5. Lélia Blin, Pierre Fraigniaud, and Boaz Patt-Shamir. On proof-labeling schemes versus silent self-stabilizing algorithms. In Stabilization, Safety, and Security of Distributed Systems, pages 18-32, 2014. Google Scholar
  6. Keren Censor-Hillel, Ami Paz, and Mor Perry. Approximate proof-labeling schemes. Theor. Comput. Sci., 811:112-124, 2020. Google Scholar
  7. Yuval Emek and Yuval Gil. Twenty-two new approximate proof labeling schemes. In 34th International Symposium on Distributed Computing, DISC 2020, October 12-16, 2020, Virtual Conference, 2020. Google Scholar
  8. Yuval Emek, Yuval Gil, and Shay Kutten. Locally restricted proof labeling schemes (full version), 2022. URL: http://arxiv.org/abs/2208.08718.
  9. Laurent Feuilloley and Pierre Fraigniaud. Error-sensitive proof-labeling schemes. In 31st International Symposium on Distributed Computing, DISC 2017, October 16-20, 2017, Vienna, Austria, volume 91 of LIPIcs, pages 16:1-16:15, 2017. Google Scholar
  10. Laurent Feuilloley, Pierre Fraigniaud, Juho Hirvonen, Ami Paz, and Mor Perry. Redundancy in distributed proofs. In 32nd International Symposium on Distributed Computing, DISC, volume 121 of LIPIcs, pages 24:1-24:18, 2018. Google Scholar
  11. Laurent Feuilloley, Pierre Fraigniaud, Pedro Montealegre, Ivan Rapaport, Éric Rémila, and Ioan Todinca. Compact distributed certification of planar graphs. Algorithmica, 83(7):2215-2244, 2021. Google Scholar
  12. Pierre Fraigniaud, Amos Korman, and David Peleg. Local distributed decision. In IEEE 52nd Annual Symposium on Foundations of Computer Science, FOCS, pages 708-717, 2011. Google Scholar
  13. Mohsen Ghaffari, Fabian Kuhn, and Yannic Maus. On the complexity of local distributed graph problems. In Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing, STOC 2017, Montreal, QC, Canada, June 19-23, 2017, pages 784-797. ACM, 2017. Google Scholar
  14. Oded Goldreich, Shafi Goldwasser, and Dana Ron. Property testing and its connection to learning and approximation. J. ACM, 45(4):653-750, 1998. Google Scholar
  15. Shafi Goldwasser, Guy N. Rothblum, and Yael Tauman Kalai. Delegating computation: Interactive proofs for muggles. Electron. Colloquium Comput. Complex., page 108, 2017. Google Scholar
  16. Mika Göös and Jukka Suomela. Locally checkable proofs in distributed computing. THEORY OF COMPUTING, 12:1-33, 2016. Google Scholar
  17. Gillat Kol, Rotem Oshman, and Raghuvansh R. Saxena. Interactive distributed proofs. In PODC 2018 - Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing, pages 255-264, July 2018. Google Scholar
  18. Amos Korman and Shay Kutten. Distributed verification of minimum spanning trees. Distributed Comput., 20(4):253-266, 2007. Google Scholar
  19. Amos Korman, Shay Kutten, and David Peleg. Proof labeling schemes. Distributed Comput., 22(4):215-233, 2010. Google Scholar
  20. E. Kushilevitz and N. Nisan. Communication Complexity. Cambridge University Press, 2006. Google Scholar
  21. Nathan Linial. Distributive graph algorithms-global solutions from local data. In 28th Annual Symposium on Foundations of Computer Science, Los Angeles, California, USA, 27-29 October 1987, pages 331-335. IEEE Computer Society, 1987. Google Scholar
  22. Nathan Linial. Locality in distributed graph algorithms. SIAM J. Comput., 21(1):193-201, 1992. Google Scholar
  23. Moni Naor and Larry J. Stockmeyer. What can be computed locally? SIAM J. Comput., 24(6):1259-1277, 1995. Google Scholar
  24. Boaz Patt-Shamir and Mor Perry. Proof-labeling schemes: Broadcast, unicast and in between. In Stabilization, Safety, and Security of Distributed Systems - 19th International Symposium, SSS, volume 10616, pages 1-17. Springer, 2017. Google Scholar
  25. David Peleg. Distributed Computing: A Locality-Sensitive Approach. Society for Industrial and Applied Mathematics, USA, 2000. Google Scholar
  26. Omer Reingold, Guy N. Rothblum, and Ron D. Rothblum. Constant-round interactive proofs for delegating computation. SIAM J. Comput., 50(3), 2021. Google Scholar
  27. Václav Rozhon and Mohsen Ghaffari. Polylogarithmic-time deterministic network decomposition and distributed derandomization. In Proccedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, STOC 2020, Chicago, IL, USA, June 22-26, 2020, pages 350-363. ACM, 2020. Google Scholar
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