Privacy-preserving Computing: for Big Data Analytics and AI - Hardcover

Chen, Kai; Yang, Qiang

Hardcover

ISBN 10: 1009299514 ISBN 13: 9781009299510

Publisher: Cambridge University Press, 2023

Synopsis

Systematically introduces privacy-preserving computing techniques and practical applications for students, researchers, and practitioners.

About this title

About the Authors

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.

Qiang Yang is Chief Ai Officer at Webank and Professor Emeritus at the Department of Computer Science and Engineering of the Hong Kong University of Science and Technology. He is an AAAI, ACM, and IEEE Fellow and Fellow of the Canadian Royal Society. He has authored books such as 'Intelligent Planning,' 'Crafting Your Research Future,' 'Transfer Learning,' and 'Federated Learning.' His research interests include artificial intelligence, machine learning and data mining, automated planning, transfer learning, and federated learning.

Edition details

• Publisher: Cambridge University Press
• Publication date: 2023
• Language: English
• ISBN 10: 1009299514
• ISBN 13: 9781009299510
• Binding: Hardcover
• Edition number: 1
• Number of pages: 271