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Binary Codes with Resilience Beyond 1/4 via Interaction

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    5 Scopus citations

    Abstract

    In the reliable transmission problem, a sender, Alice, wishes to transmit a bit-string x to a remote receiver, Bob, over a binary channel with adversarial noise. The solution to this problem is to encode x using an error correcting code. As it is long known that the distance of binary codes is at most 1/2, reliable transmission is possible only if the channel corrupts (flips) at most a 1/4-fraction of the communicated bits.We revisit the reliable transmission problem in the two-way setting, where both Alice and Bob can send bits to each other. Our main result is the construction of two-way error correcting codes that are resilient to a constant fraction of corruptions strictly larger than 1/4. Moreover, our code has constant rate and requires Bob to only send one short message. We mention that our result resolves an open problem by Haeupler, Kamath, and Velingker [APPROX-RANDOM, 2015] and by Gupta, Kalai, and Zhang [STOC, 2022].Curiously, our new two-way code requires a fresh perspective on classical error correcting codes: While classical codes have only one distance guarantee for all pairs of codewords (i.e., the minimum distance), we construct codes where the distance between a pair of codewords depends on the 'compatibility' of the messages they encode. We also prove that such codes are necessary for our result.

    Original languageEnglish
    Title of host publicationProceedings - 2022 IEEE 63rd Annual Symposium on Foundations of Computer Science, FOCS 2022
    PublisherInstitute of Electrical and Electronics Engineers
    Pages1-12
    Number of pages12
    ISBN (Electronic)9781665455190
    DOIs
    StatePublished - 1 Jan 2022
    Event63rd IEEE Annual Symposium on Foundations of Computer Science, FOCS 2022 - Denver, United States
    Duration: 31 Oct 20223 Nov 2022

    Publication series

    NameProceedings - Annual IEEE Symposium on Foundations of Computer Science, FOCS
    Volume2022-October
    ISSN (Print)0272-5428

    Conference

    Conference63rd IEEE Annual Symposium on Foundations of Computer Science, FOCS 2022
    Country/TerritoryUnited States
    CityDenver
    Period31/10/223/11/22

    Keywords

    • error correcting code
    • interactive communication
    • noise resilience

    ASJC Scopus subject areas

    • General Computer Science

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