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

Chen, Kai; Yang, Qiang

 
9781009299510: Privacy-preserving Computing: for Big Data Analytics and AI
Rilegato
ISBN 10: 1009299514 ISBN 13: 9781009299510
Casa editrice: Cambridge University Press, 2023

Sinossi

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

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Informazioni sugli autori

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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Editore
Cambridge University Press
Data di pubblicazione
2023
Lingua
Inglese
ISBN 10 
1009299514
ISBN 13 
9781009299510
Rilegatura
Copertina rigida
Numero di pagine
271
Contatto del produttore
non disponibile
Persona responsabile
Avery
https://www.avery.fr/

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