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 · Inglês · Capa dura (221 páginas)
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Detalhes do Livro

Formato Capa dura
Páginas 221
Idioma Inglês
Publicado Sep 14, 2018
Editora Springer
Edição 1st ed. 2018
ISBN-10 9811323119
ISBN-13 9789811323119

Descrição

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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