Security and Privacy in Federated Learning is popular PDF and ePub book, written by Shui Yu in 2023-03-10, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Security and Privacy in Federated Learning can be Read Online from any device for your convenience.
Security and Privacy in Federated Learning Book PDF Summary
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.
Detail Book of Security and Privacy in Federated Learning PDF
- Author : Shui Yu
- Release : 10 March 2023
- Publisher : Springer Nature
- ISBN : 9789811986925
- Genre : Computers
- Total Page : 142 pages
- Language : English
- PDF File Size : 11,7 Mb
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