Information Bottleneck Classification in Extremely Distributed Systems

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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Bibliographic Details
Main Authors: Denis Ullmann, Shideh Rezaeifar, Olga Taran, Taras Holotyak, Brandon Panos, Slava Voloshynovskiy
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Entropy
Subjects:
information bottleneck principle
classification
deep networks
decentralized model
rate-distortion theory
Online Access:https://www.mdpi.com/1099-4300/22/11/1237

Internet

https://www.mdpi.com/1099-4300/22/11/1237

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