Abstract
In the field of interactive coding, two or more parties wish to carry out a distributed computation over a communication network that may be noisy. The ultimate goal is to develop efficient coding schemes that can tolerate a high level of noise while increasing the communication by only a constant factor (i.e., constant rate). In this work we consider synchronous communication networks over an arbitrary topology, in the powerful adversarial insertion-deletion noise model. Namely, the noisy channel may adversarially alter the content of any transmitted symbol, as well as completely remove a transmitted symbol or inject a new symbol into the channel. We provide an efficient, constant rate scheme that conducts any computation on any arbitrary network, and succeeds with high probability as long as an oblivious adversary corrupts at most fra cm fraction of the total communication, where m is the number of links in the network and is a small constant. In this work (the first part), our scheme assumes that the parties share a random string to which the adversarial noise is oblivious. While previous work considered the insertion-deletion noise model in the two-party setting, to the best of our knowledge, our scheme is the first multiparty scheme that is resilient to insertions and deletions. Furthermore, our scheme is the first computationally efficient scheme in the multiparty setting that is resilient to adversarial noise.
Original language | English |
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Article number | 9380768 |
Pages (from-to) | 3411-3437 |
Number of pages | 27 |
Journal | IEEE Transactions on Information Theory |
Volume | 67 |
Issue number | 6 |
DOIs | |
State | Published - Jun 2021 |
Bibliographical note
Publisher Copyright:© 1963-2012 IEEE.
Funding
Manuscript received October 15, 2019; revised February 21, 2021; accepted February 25, 2021. Date of publication March 17, 2021; date of current version May 20, 2021. The work of Ran Gelles was supported in part by the Israel Science Foundation (ISF) under Grant 1078/17. The work of Govind Ramnarayan was supported in part by the Army Research Office under Grant W911NF1910217 and in part by NSF under Award CCF 1665252 and Award DMS-1737944. This article was presented in part at the 2019 ACM Symposium on Principles of Distributed Computing (PODC 2019). (Corresponding author: Govind Ramnarayan.) Ran Gelles is with the Faculty of Engineering, Bar-Ilan University, Ramat Gan 52900002, Israel (e-mail: [email protected]).
Funders | Funder number |
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National Science Foundation | DMS-1737944, CCF 1665252 |
Army Research Office | W911NF1910217 |
Israel Science Foundation | 1078/17 |
Keywords
- Coding for interactive communication
- communication protocols
- distributed computing