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
fDate :
6/24/1905 12:00:00 AM
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;
Conference_Titel :
Computational Complexity, 2002. Proceedings. 17th IEEE Annual Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7695-1468-5
DOI :
10.1109/CCC.2002.1004353