rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Secure Networked Inference with Unreliable Data Sources
  name:
    name part: Vempaty, Aditya.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Kailkhura, Bhavya.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Varshney, Pramod K.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: si
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIII, 208 p. 74 illus., 71 illus. in color. online resource.
  abstract: 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.
  table of contents: 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.
  note: by Aditya Vempaty, Bhavya Kailkhura, Pramod K. Varshney.
  subject:
    topic: Computer communication systems
  subject:
    topic: Computer security
  subject:
    topic: Electrical engineering
  subject:
    topic: Signal processing
  subject:
    topic: Image processing
  subject:
    topic: Speech processing systems
  subject:
    topic: Coding theory
  subject:
    topic: Information theory
  subject:
    topic: Mathematical statistics
  subject:
    topic: Computer Communication Networks
  subject:
    topic: Systems and Data Security
  subject:
    topic: Communications Engineering, Networks
  subject:
    topic: Signal, Image and Speech Processing
  subject:
    topic: Coding and Information Theory
  subject:
    topic: Probability and Statistics in Computer Science
  classification: TK5105.5-5105.9
  classification: 004.6
  related item:
    title info:
      title: Springer eBooks
  identifier: 9789811323126
  identifier: https://doi.org/10.1007/978-981-13-2312-6
  record info:
    record creation date: 180830
    record change date: 20191220130841.0
    record identifier: 978-981-13-2312-6