Secure Networked Inference with Unreliable Data Sources (1st ed. 2018)
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- Synopsis
- 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.
- Copyright:
- 2018
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9789811323126
- Related ISBNs:
- 9789811323119
- Publisher:
- Springer Singapore, Singapore
- Date of Addition:
- 10/28/18
- Copyrighted By:
- Springer
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology, Mathematics and Statistics, Communication
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
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