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Springer

Secure Networked Inference with Unreliable Data Sources

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Product Code: 9789811323119
ISBN13: 9789811323119
Condition: New
$117.02

Secure Networked Inference with Unreliable Data Sources

$117.02
 
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.


Author: Aditya Vempaty, Bhavya Kailkhura, Pramod K. Varshney
Publisher: Springer
Publication Date: Sep 14, 2018
Number of Pages: 208 pages
Language: English
Binding: Hardcover
ISBN-10: 9811323119
ISBN-13: 9789811323119
 

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