Secure Networked Inference with Unreliable Data Sources

Secure Networked Inference with Unreliable Data Sources

Pramod K. Varshney , Aditya Vempaty , Bhavya Kailkhura
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Sep 14, 2018 · Inglés · Tapa dura (221 páginas)
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Detalles del libro

Formato Tapa dura
Páginas 221
Idioma Inglés
Publicado Sep 14, 2018
Editorial Springer
Edición 1st ed. 2018
ISBN-10 9811323119
ISBN-13 9789811323119

Descripción

The Book Presents Theory And Algorithms For Secure Networked Inference In The Presence Of Byzantines. It Derives Fundamental Limits Of Networked Inference In The Presence Of Byzantine Data And Designs Robust Strategies To Ensure Reliable Performance For Several Practical Network Architectures. In Particular, It Addresses Inference (or Learning) Processes Such As Detection, Estimation Or Classification, And Parallel, Hierarchical, And Fully Decentralized (peer-to-peer) System Architectures. Furthermore, It Discusses A Number Of New Directions And Heuristics To Tackle The Problem Of Design Complexity In These Practical Network Architectures For Inference.
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