Information Bottleneck Classification in Extremely Distributed Systems

We present a new decentralized classification system based on a distributed architecture. This system consists of distributed nodes, each possessing their own datasets and computing modules, along with a centralized server, which provides probes to classification and aggregates the responses of node...

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Detalles Bibliográficos

Principais autores:	Denis Ullmann, Shideh Rezaeifar, Olga Taran, Taras Holotyak, Brandon Panos, Slava Voloshynovskiy
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2020-10-01
Series:	Entropy
Assuntos:	information bottleneck principle classification deep networks decentralized model rate-distortion theory
Acceso en liña:	https://www.mdpi.com/1099-4300/22/11/1237
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