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Auteurs principaux: Yachongka, Vamoua, Yagi, Hideki, Ochiai, Hideki
Format: Preprint
Publié: 2023
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Accès en ligne:https://arxiv.org/abs/2301.12526
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author Yachongka, Vamoua
Yagi, Hideki
Ochiai, Hideki
author_facet Yachongka, Vamoua
Yagi, Hideki
Ochiai, Hideki
contents We investigate the rate-distortion-leakage region of the Chief Executive Officer (CEO) problem, considering the presence of a passive eavesdropper and privacy constraints. We start by examining the region where a general distortion measure quantifies the distortion. While the inner bound of the region is derived from previous work, this paper newly develops an outer bound. To derive the outer bound, we introduce a new lemma tailored for analyzing privacy constraints. Next, as a specific instance of the general distortion measure, we demonstrate that the tight bound for discrete and Gaussian sources is obtained when the eavesdropper has no side information, and the distortion is quantified by the log-loss distortion measure. We further investigate the rate-distortion-leakage region for a scenario where the eavesdropper has side information, and the distortion is quantified by the log-loss distortion measure and provide an outer bound for this case. The derived outer bound differs from the inner bound by only a minor quantity that appears in the constraints associated with the privacy-leakage rates, and these bounds match when the distortion is large.
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institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Outer Bounds on the CEO Problem with Privacy Constraints
Yachongka, Vamoua
Yagi, Hideki
Ochiai, Hideki
Information Theory
Cryptography and Security
We investigate the rate-distortion-leakage region of the Chief Executive Officer (CEO) problem, considering the presence of a passive eavesdropper and privacy constraints. We start by examining the region where a general distortion measure quantifies the distortion. While the inner bound of the region is derived from previous work, this paper newly develops an outer bound. To derive the outer bound, we introduce a new lemma tailored for analyzing privacy constraints. Next, as a specific instance of the general distortion measure, we demonstrate that the tight bound for discrete and Gaussian sources is obtained when the eavesdropper has no side information, and the distortion is quantified by the log-loss distortion measure. We further investigate the rate-distortion-leakage region for a scenario where the eavesdropper has side information, and the distortion is quantified by the log-loss distortion measure and provide an outer bound for this case. The derived outer bound differs from the inner bound by only a minor quantity that appears in the constraints associated with the privacy-leakage rates, and these bounds match when the distortion is large.
title Outer Bounds on the CEO Problem with Privacy Constraints
topic Information Theory
Cryptography and Security
url https://arxiv.org/abs/2301.12526