Security and Privacy in Federated Learning

In this book, the authors highlight the latest research findings on the security and privacy of federated learning systems. The main attacks and counterattacks in this booming field are presented to readers in connection with inference, poisoning, generative adversarial networks, differential privacy, secure multi-party computation, homomorphic encryption, and shuffle, respectively. The book offers an essential overview for researchers who are new to the field, while also equipping them to explore this ¿uncharted territory.¿ For each topic, the authors first present the key concepts, followed by the most important issues and solutions, with appropriate references for further reading. The book is self-contained, and all chapters can be read independently. It offers a valuable resource for master¿s students, upper undergraduates, Ph.D. students, and practicing engineers alike.

Verwandte Artikel

Security and Privacy in Federated Learning Cui, Lei, Yu, Shui

171,19 €*

Weitere Produkte vom selben Autor

Download
ePUB
Natural Polymers for Biomedical Applications Wenguo Cui, Lei Xiang

115,99 €*
Download
PDF
Natural Polymers for Biomedical Applications Wenguo Cui, Lei Xiang

115,99 €*
Download
PDF
Large-scale Graph Analysis: System, Algorithm and Optimization Yingxia Shao, Bin Cui, Lei Chen

149,79 €*
Malicious Attack Propagation and Source Identification Jiang, Jiaojiao, Wen, Sheng, Zhou, Wanlei, Yu, Shui, Xiang, Yang, Liu, Bo

139,09 €*