Private Remote Sources for Secure Multi-Function Computation

We consider a distributed function computation problem in which parties observing noisy versions of a remote source facilitate the computation of a function of their observations at a fusion center through public communication. The distributed function computation is subject to constraints, includin...

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Vydané v:	IEEE transactions on information theory Ročník 68; číslo 10; s. 6826 - 6841
Hlavní autori:	Gunlu, Onur, Bloch, Matthieu, Schaefer, Rafael F.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.10.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Computation Computational modeling information bottleneck Loss measurement lossy function computation Markov chains Markov processes Noise measurement Privacy private remote source Random sequences Random variables rate-limited public communication Remote observing Secrecy aspects Secure multiple function computation
ISSN:	0018-9448, 1557-9654, 1557-9654
On-line prístup:	Získať plný text
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