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Secure Networked Inference with Unreliable Data Sources

Gebonden Engels 2018 9789811323119
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9789811323119
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer Nature Singapore

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Inhoudsopgave

Chapter 1 Introduction.- Chapter 2 Conventional Inference theories.- Chapter 3 Distributed Detection in Networks.- Chapter 4 Distributed Estimation and Target Localization.- Chapter 5 Distributed Classification and Target Tracking.- Chapter 6 New Research Directions Discussion and conclusions.

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        Secure Networked Inference with Unreliable Data Sources