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          <dc:title>Lower Bounds for 2-Query LCCs over Large Alphabet</dc:title>
          <dc:creator>Bhattacharyya, Arnab</dc:creator>
          <dc:creator>Gopi, Sivakanth</dc:creator>
          <dc:creator>Tal, Avishay</dc:creator>
          <dc:subject>Locally correctable code</dc:subject>
          <dc:subject>Private information retrieval</dc:subject>
          <dc:subject>Szemerédi regularity lemma</dc:subject>
          <dc:description>A locally correctable code (LCC) is an error correcting code that allows correction of any arbitrary coordinate of a corrupted codeword by querying only a few coordinates. We show that any 2-query locally correctable code C:{0,1}^k -&gt; Sigma^n that can correct a constant fraction of corrupted symbols must have n &gt;= exp(k/\log|Sigma|) under the assumption that the LCC is zero-error. We say that an LCC is zero-error if there exists a non-adaptive corrector algorithm that succeeds with probability 1 when the input is an uncorrupted codeword. All known constructions of LCCs are zero-error. &#13;
&#13;
Our result is tight upto constant factors in the exponent. The only previous lower bound on the length of 2-query LCCs over large alphabet was Omega((k/log|\Sigma|)^2) due to Katz and Trevisan (STOC 2000). Our bound implies that zero-error LCCs cannot yield 2-server private information retrieval (PIR) schemes with sub-polynomial communication. Since there exists a 2-server PIR scheme with sub-polynomial communication (STOC 2015) based on a zero-error 2-query locally decodable code (LDC), we also obtain a separation between LDCs and LCCs over large alphabet.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Arnab Bhattacharyya and Sivakanth Gopi and Avishay Tal</dc:contributor>
          <dc:date>2017</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 81, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2017)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>urn:nbn:de:0030-drops-75792</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX-RANDOM.2017.30</dc:identifier>
          <dc:language>eng</dc:language>
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