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Secure Networked Inference with Unreliable Data Sources Book PDF Summary

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.

Detail Book of Secure Networked Inference with Unreliable Data Sources PDF

Secure Networked Inference with Unreliable Data Sources
  • Author : Aditya Vempaty
  • Release : 30 August 2018
  • Publisher : Springer
  • ISBN : 9789811323126
  • Genre : Computers
  • Total Page : 219 pages
  • Language : English
  • PDF File Size : 13,6 Mb

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