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REPORTS > KEYWORD > LOCALLY CORRECTABLE CODES:
Reports tagged with Locally correctable codes:
TR11-054 | 13th April 2011
Arnab Bhattacharyya, Zeev Dvir, Shubhangi Saraf, Amir Shpilka

Tight lower bounds for 2-query LCCs over finite fields

A Locally Correctable Code (LCC) is an error correcting code that has a probabilistic
self-correcting algorithm that, with high probability, can correct any coordinate of the
codeword by looking at only a few other coordinates, even if a fraction \delta of the
coordinates are corrupted. LCC's are a stronger form ... more >>>


TR12-148 | 7th November 2012
Eli Ben-Sasson, Ariel Gabizon, Yohay Kaplan, Swastik Kopparty, Shubhangi Saraf

A new family of locally correctable codes based on degree-lifted algebraic geometry codes

Revisions: 1

We describe new constructions of error correcting codes, obtained by "degree-lifting" a short algebraic geometry (AG) base-code of block-length q to a lifted-code of block-length q^m, for arbitrary integer m. The construction generalizes the way degree-d, univariate polynomials evaluated over the q-element field (also known as Reed-Solomon codes) are "lifted" ... more >>>


TR15-068 | 21st April 2015
Swastik Kopparty, Noga Ron-Zewi, Shubhangi Saraf

High rate locally-correctable and locally-testable codes with sub-polynomial query complexity

Revisions: 3

In this work, we construct the first locally-correctable codes (LCCs), and locally-testable codes (LTCs) with constant rate, constant relative distance, and sub-polynomial query complexity. Specifically, we show that there exist binary LCCs and LTCs with block length n, constant rate (which can even be taken arbitrarily close to 1), constant ... more >>>


TR15-110 | 8th July 2015
Swastik Kopparty, Or Meir, Noga Ron-Zewi, Shubhangi Saraf

High-rate Locally-testable Codes with Quasi-polylogarithmic Query Complexity

Revisions: 1

An error correcting code is said to be \emph{locally testable} if
there is a test that checks whether a given string is a codeword,
or rather far from the code, by reading only a small number of symbols
of the string. Locally testable codes (LTCs) are both interesting
in their ... more >>>


TR17-143 | 26th September 2017
Tom Gur, Govind Ramnarayan, Ron Rothblum

Relaxed Locally Correctable Codes

Revisions: 1

Locally decodable codes (LDCs) and locally correctable codes (LCCs) are error-correcting codes in which individual bits of the message and codeword, respectively, can be recovered by querying only few bits from a noisy codeword. These codes have found numerous applications both in theory and in practice.

A natural relaxation of ... more >>>


TR19-080 | 1st June 2019
Swastik Kopparty, Nicolas Resch, Noga Ron-Zewi, Shubhangi Saraf, Shashwat Silas

On List Recovery of High-Rate Tensor Codes

We continue the study of list recovery properties of high-rate tensor codes, initiated by Hemenway, Ron-Zewi, and Wootters (FOCS'17). In that work it was shown that the tensor product of an efficient (poly-time) high-rate globally list recoverable code is {\em approximately} locally list recoverable, as well as globally list recoverable ... more >>>


TR20-113 | 27th July 2020
Alessandro Chiesa, Tom Gur, Igor Shinkar

Relaxed Locally Correctable Codes with Nearly-Linear Block Length and Constant Query Complexity

Locally correctable codes (LCCs) are error correcting codes C : \Sigma^k \to \Sigma^n which admit local algorithms that correct any individual symbol of a corrupted codeword via a minuscule number of queries. This notion is stronger than that of locally decodable codes (LDCs), where the goal is to only recover ... more >>>


TR21-119 | 13th August 2021
Omar Alrabiah, Venkatesan Guruswami

Visible Rank and Codes with Locality

Revisions: 2

We propose a framework to study the effect of local recovery requirements of codeword symbols on the dimension of linear codes, based on a combinatorial proxy that we call "visible rank." The locality constraints of a linear code are stipulated by a matrix H of \star's and 0's (which we ... more >>>


TR21-136 | 13th September 2021
Gil Cohen, Tal Yankovitz

LCC and LDC: Tailor-made distance amplification and a refined separation

The Alon-Edmonds-Luby distance amplification procedure (FOCS 1995) is an algorithm that transforms a code with vanishing distance to a code with constant distance. AEL was invoked by Kopparty, Meir, Ron-Zewi, and Saraf (J. ACM 2017) for obtaining their state-of-the-art LDC, LCC and LTC. Cohen and Yankovitz (CCC 2021) devised a ... more >>>


TR22-045 | 4th April 2022
Gil Cohen, Tal Yankovitz

Relaxed Locally Decodable and Correctable Codes: Beyond Tensoring

Revisions: 1

In their highly influential paper, Ben-Sasson, Goldreich, Harsha, Sudan, and Vadhan (STOC 2004) introduced the notion of a relaxed locally decodable code (RLDC). Similarly to a locally decodable code (Katz-Trevisan; STOC 2000), the former admits access to any desired message symbol with only a few queries to a possibly corrupted ... more >>>


TR23-162 | 1st November 2023
Pravesh Kothari, Peter Manohar

An Exponential Lower Bound for Linear 3-Query Locally Correctable Codes

We prove that the blocklength n of a linear 3-query locally correctable code (LCC) \mathcal{L} \colon \mathbb{F}^k \to \mathbb{F}^n with distance \delta must be at least n \geq 2^{\Omega\left(\left(\frac{\delta^2 k}{(|\mathbb{F}|-1)^2}\right)^{1/8}\right)}. In particular, the blocklength of a linear 3-query LCC with constant distance over any small field grows exponentially with k. ... more >>>


TR24-036 | 21st February 2024
Tal Yankovitz

A stronger bound for linear 3-LCC

Revisions: 2

A q-locally correctable code (LCC) C:\{0,1\}^k \to \{0,1\}^n is a code in which it is possible to correct every bit of a (not too) corrupted codeword by making at most q queries to the word. The cases in which q is constant are of special interest, and so are the ... more >>>


TR24-062 | 5th April 2024
Omar Alrabiah, Venkatesan Guruswami

Near-Tight Bounds for 3-Query Locally Correctable Binary Linear Codes via Rainbow Cycles

Revisions: 1

We prove that a binary linear code of block length n that is locally correctable with 3 queries against a fraction \delta > 0 of adversarial errors must have dimension at most O_{\delta}(\log^2 n \cdot \log \log n). This is almost tight in view of quadratic Reed-Muller codes being a ... more >>>




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