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.
Détails du livre
Format
Relié
Pages
221 pages
Langue
Anglais
Publié
Sep 14, 2018
Éditeur
Springer
Édition
1st ed. 2018
Éditions
3 editions
ISBN-10
9811323119
ISBN-13
9789811323119