Vector Gaussian CEO Problem Under Logarithmic Loss and Applications

In this paper, we study the vector Gaussian Chief Executive Officer (CEO) problem under logarithmic loss distortion measure. Specifically, <inline-formula> <tex-math notation="LaTeX">{K} \geq 2 </tex-math></inline-formula> agents observe independently corrupted Gaus...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE transactions on information theory Ročník 66; číslo 7; s. 4183 - 4202
Hlavní autori:	Ugur, Yigit, Aguerri, Inaki Estella, Zaidi, Abdellatif
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.07.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Predmet:	Algorithms Berger-Tung inner bound Blahut-Arimoto algorithm CEO problem Chief executive officers Codes Constraints Decoding Distortion Distortion measurement distributed source coding information bottleneck Information Theory logarithmic loss Loss measurement Machine learning Mathematical models Mathematics Multiterminal source coding Noise measurement Rate-distortion rate-distortion region Remote observing Source coding
ISSN:	0018-9448, 1557-9654
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!