Privacy-Preserving Computing: For Big Data Analytics and Ai - Hardcover

Chen, Kai; Yang, Qiang

 
9781009299510: Privacy-Preserving Computing: For Big Data Analytics and Ai

Inhaltsangabe

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

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Über die Autorinnen und Autoren

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.

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