Kai Chen, Qiang Yang

Privacy-preserving Computing (eBook, PDF)

for Big Data Analytics and AI

• Format: PDF

Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 16. November 2023
• Englisch
• ISBN-13: 9781009299503
• Artikelnr.: 70912254

Autorenporträt

Kai Chen is Professor at the Department of Computer Science and Engineering of the Hong Kong University of Science and Technology, where he leads the Intelligent Networking and Systems (iSING) Lab and the WeChat-HKUST Joint Lab on Artificial Intelligence Technology. His research interests include data center networking, high-performance networking, machine learning systems, and hardware acceleration.

Inhaltsangabe

1. Introduction to privacy-preserving computing
2. Secret sharing
3. Homomorphic encryption
4. Oblivious transfer
5. Garbled circuit
6. Differential privacy
7. Trusted execution environment
8. Federated learning
9. Privacy-preserving computing platforms
10. Case studies of privacy-preserving computing
11. Future of privacy-preserving computing
References
Index.