Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete Algorithms
Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete Algorithms
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第十四届 ACM-SIAM 离散算法年度研讨会论文集
DOI:
10.1137/1.9781611975994.84
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发表时间:
2020
期刊:
影响因子:
--
通讯作者:
Chiesa A
中科院分区:
文献类型:
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作者:
Chiesa A
Locally correctable codes (LCCs) are error correcting codeswhich admit local algorithms that correct any individual symbol of a corruptedcodewordvia a minuscule number of queries. For systematic codes, this notion is stronger than that of locally decodable codes (LDCs), where the goal is to only recover individual symbols of themessage. One of the central problems in algorithmic coding theory is to construct-query LCCs and LDCs with minimal block length. Alas, state-of-the-art of such codes requires super-polynomial block length to admit-query algorithms for local correction and decoding, despite much attention during the last two decades. The study ofrelaxedLCCs and LDCs, which allow the correction algorithm toabort(but not err) on a small fraction of the locations, provides a way to circumvent this barrier. This relaxation turned out to allow constant-query correcting and decoding algorithms for codes with polynomial block length. Focusing on local correction, Gur, Ramnarayan, and Rothblum [Proceedings of the 9th Innovations in Theoretical Computer Science Conference, ITCS’18, 2018, pp. 1–27] showed that there exist-query relaxed LCCs that achieve nearly-quartic block length, for an arbitrarily small constant. We construct an-query relaxed LCC withnearly-linearblock length, for an arbitrarily small constant. This significantly narrows the gap between the lower bound which states that there are no-query relaxed LCCs with block length. In particular, our construction matches the parameters achieved by Ben-Sasson et al. [SIAM J. Comput., 36 (2006), pp. 889–974], who constructed relaxed LDCs with the same parameters. This resolves an open problem raised by Gur, Ramnarayan, and Rothblum [Proceedings of the 9th Innovations in Theoretical Computer Science Conference, ITCS’18, 2018, pp. 1–27].