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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Veröffentlicht in:	IEEE transactions on information theory Jg. 68; H. 10; S. 6826 - 6841
Hauptverfasser:	Gunlu, Onur, Bloch, Matthieu, Schaefer, Rafael F.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.10.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
Online-Zugang:	Volltext
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