Secure Networked Inference with Unreliable Data Sources
Softcover Reprint of the Original 1st 2018 ed.
Book Details
Format
Paperback / Softback
ISBN-10
9811347654
ISBN-13
9789811347658
Edition
Softcover Reprint of the Original 1st 2018 ed.
Publisher
Springer Verlag, Singapore
Imprint
Springer Verlag, Singapore
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Feb 1st, 2019
Print length
208 Pages
Product Classification:
Information theoryCoding theory & cryptologyCoding theory and cryptologyProbability & statisticsProbability and statisticsElectronics engineeringCommunications engineering / telecommunicationsNetwork hardwareComputer securityNetwork securityMaths for computer scientistsDigital signal processing (DSP)Signal processing
Ksh 16,200.00
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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.
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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