Description
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.
Book Details
Format
Hardcover
Pages
221 pages
Language
English
Published
Sep 14, 2018
Publisher
Springer
Edition
1st ed. 2018
Editions
3 editions
ISBN-10
9811323119
ISBN-13
9789811323119