• DocumentCode
    1632945
  • Title

    Lower bounds for linear locally decodable codes and private information retrieval

  • Author

    Goldreich, Oded ; Karloff, Howard ; Schulman, Leonard J. ; Trevisan, Luca

  • Author_Institution
    Dept. of Comput. Sci., Weizmann Inst. of Sci., Rehovot, Israel
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    143
  • Lastpage
    151
  • Abstract
    We prove that if a linear error-correcting code C: {0, 1}n → {0, 1}m is such that a bit of the message can be probabilistically reconstructed by looking at two entries of a corrupted codeword, then m = 2Ω(n). We also present several extensions of this result. We show a reduction from the complexity, of one-round, information-theoretic private information retrieval systems (with two servers) to locally decodable codes, and conclude that if all the servers´ answers are linear combinations of the database content, then t = Ω(n/2a), where t is the length of the user´s query and a is the length of the servers´ answers. Actually, 2a can be replaced by O(ak), where k is the number of bit locations in the answer that are actually inspected in the reconstruction
  • Keywords
    communication complexity; decoding; error correction codes; information retrieval; information retrieval systems; linear codes; complexity; corrupted codeword; database content; linear combinations; linear error correcting code; linear locally decodable codes; lower bounds; one-round information theoretic private information retrieval systems; server answer length; servers; user query length; Complexity theory; Computer science; Databases; Decoding; Error correction; Error correction codes; Information retrieval; Linear code; Protocols; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Complexity, 2002. Proceedings. 17th IEEE Annual Conference on
  • Conference_Location
    Montreal, Que.
  • ISSN
    1093-0159
  • Print_ISBN
    0-7695-1468-5
  • Type

    conf

  • DOI
    10.1109/CCC.2002.1004353
  • Filename
    1004353