Security and Privacy in Federated Learning
English | 2023 | ISBN: 9811986916 | 267 Pages | PDF EPUB (True) | 15 MB
English | 2023 | ISBN: 9811986916 | 267 Pages | PDF EPUB (True) | 15 MB
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.