| 书目名称 | Secure Networked Inference with Unreliable Data Sources | | 编辑 | Aditya Vempaty,Bhavya Kailkhura,Pramod K. Varshney | | 视频video | | | 概述 | Is the first book to introduce inferences in Byzantine attacks.Includes the complete inference theories used in distributed network security.Provides new ideas for addressing design complexity in prac | | 图书封面 |  | | 描述 | .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.. | | 出版日期 | Book 2018 | | 关键词 | Data fusion; Data falsification; Distributed learning; Distributed inference; Byzantines; Wireless networ | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-13-2312-6 | | isbn_softcover | 978-981-13-4765-8 | | isbn_ebook | 978-981-13-2312-6 | | copyright | Springer Nature Singapore Pte Ltd. 2018 |
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发表于 2025-3-21 17:19:10
