Privacy-preserving computing: for big data analytics and ai
Auteur :
Chen, Kai / Yang, Qiang
Éditeur :
Cambridge University Press
ISBN :
9781009299510
Date de publication :
16 nov. 2023
Dimensions :
23,4 x 15,5 x 2,1 cm
Poids :
530 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
Privacy-preserving computing aims to protect the personal information of users while capitalizing on the possibilities offered by big data. This practical introduction for students, researchers, and industry practitioners presents a systematic tour of recent advances in privacy-preserving methods for real-world problems in analytics and AI.