Distributed cooperative information bottleneck
This paper investigates a scenario where two distant nodes separately observe memoryless process, namely X 1 and X 2 , and can cooperate through multiple exchanges of messages with the goal of enabling a third node to learn "relevant information" (measured in terms of a multi-letter mutual...
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| Vydané v: | Proceedings / IEEE International Symposium on Information Theory s. 709 - 713 |
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| Hlavní autori: | , , |
| Médium: | Konferenčný príspevok.. |
| Jazyk: | English |
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IEEE
01.06.2017
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| ISSN: | 2157-8117 |
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| Abstract | This paper investigates a scenario where two distant nodes separately observe memoryless process, namely X 1 and X 2 , and can cooperate through multiple exchanges of messages with the goal of enabling a third node to learn "relevant information" (measured in terms of a multi-letter mutual information) about some hidden memoryless process Y, which is arbitrarily dependent on (X 1 , X 2 ). These interactive exchanges yield an explicit cooperation that helps the third node to identify, from the distributed observations X 1 and X 2 , useful features for the inference of Y. An inner and an outer bound to the rate-relevance region of this problem is derived. Optimal characterization of the rate-relevance region under two different conditions on the dependence structures of the involved variables is showed. Also, two examples for Gaussian sources are studied. |
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| AbstractList | This paper investigates a scenario where two distant nodes separately observe memoryless process, namely X 1 and X 2 , and can cooperate through multiple exchanges of messages with the goal of enabling a third node to learn "relevant information" (measured in terms of a multi-letter mutual information) about some hidden memoryless process Y, which is arbitrarily dependent on (X 1 , X 2 ). These interactive exchanges yield an explicit cooperation that helps the third node to identify, from the distributed observations X 1 and X 2 , useful features for the inference of Y. An inner and an outer bound to the rate-relevance region of this problem is derived. Optimal characterization of the rate-relevance region under two different conditions on the dependence structures of the involved variables is showed. Also, two examples for Gaussian sources are studied. |
| Author | Vera, Matias Piantanida, Pablo Rey Vega, Leonardo |
| Author_xml | – sequence: 1 givenname: Matias surname: Vera fullname: Vera, Matias email: mvera@fi.uba.ar organization: Fac. de Ing., Univ. de Buenos Aires, Buenos Aires, Argentina – sequence: 2 givenname: Leonardo surname: Rey Vega fullname: Rey Vega, Leonardo email: lrey@fi.uba.ar organization: Fac. de Ing., UBA, Buenos Aires, Argentina – sequence: 3 givenname: Pablo surname: Piantanida fullname: Piantanida, Pablo email: pablo.piantanida@centralesupelec.fr organization: Lab. des Signaux et Syst., Univ. Paris-Sud, Gif-sur-Yvette, France |
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| Snippet | This paper investigates a scenario where two distant nodes separately observe memoryless process, namely X 1 and X 2 , and can cooperate through multiple... |
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| StartPage | 709 |
| SubjectTerms | Distortion Distributed Source Coding Electronic mail Information Bottleneck Interactive Lossy Source Coding Markov processes Mutual information Random variables Shannon theory Source coding |
| Title | Distributed cooperative information bottleneck |
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