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Locally Decodable Slepian-Wolf Compression
, V. Chandar, A. Tchamkerten
Published in Institute of Electrical and Electronics Engineers Inc.
2022
Volume: 2022-June
   
Pages: 1430 - 1435
Abstract
This paper investigates the Slepian-Wolf distributed compression of two sources Xn and Yn with the additional property that any pair (Xi, Yi) should reliably be decoded by probing a small number d of compressed bits. We show that for certain source distributions, the error probability of any such local decoder is lower bounded by 2-O(d), in the worst case over index i, whenever one of the sources is compressed below its entropy. Unlike the single-source setup, it is thus impossible to simultaneously achieve constant local decodability d and vanishing local decoding error probability as n increases. We also provide a compression scheme with a local decoder that almost achieves the above lower bound. © 2022 IEEE.
About the journal
JournalData powered by TypesetIEEE International Symposium on Information Theory - Proceedings
PublisherData powered by TypesetInstitute of Electrical and Electronics Engineers Inc.
ISSN21578095