Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH scholarly article en Ball, Marshall; Goldreich, Oded; Malkin, Tal https://www.dagstuhl.de/lipics License: Creative Commons Attribution 4.0 license (CC BY 4.0)
when quoting this document, please refer to the following
DOI:
URN: urn:nbn:de:0030-drops-142886
URL:

; ;

Communication Complexity with Defective Randomness

pdf-format:


Abstract

Starting with the two standard model of randomized communication complexity, we study the communication complexity of functions when the protocol has access to a defective source of randomness. Specifically, we consider both the public-randomness and private-randomness cases, while replacing the commonly postulated perfect randomness with distributions over 𝓁 bit strings that have min-entropy at least k ≤ 𝓁. We present general upper and lower bounds on the communication complexity in these cases, where the bounds are typically linear in 𝓁-k and also depend on the size of the fooling set for the function being computed and on its standard randomized complexity.

BibTeX - Entry

@InProceedings{ball_et_al:LIPIcs.CCC.2021.14,
  author =	{Ball, Marshall and Goldreich, Oded and Malkin, Tal},
  title =	{{Communication Complexity with Defective Randomness}},
  booktitle =	{36th Computational Complexity Conference (CCC 2021)},
  pages =	{14:1--14:10},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-193-1},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{200},
  editor =	{Kabanets, Valentine},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2021/14288},
  URN =		{urn:nbn:de:0030-drops-142886},
  doi =		{10.4230/LIPIcs.CCC.2021.14},
  annote =	{Keywords: Randomized Communication Complexity, Randomness Extraction, Min-Entropy}
}

Keywords: Randomized Communication Complexity, Randomness Extraction, Min-Entropy
Seminar: 36th Computational Complexity Conference (CCC 2021)
Issue date: 2021
Date of publication: 08.07.2021


DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI