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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.Publisher: Cambridge University PressAuthor(s): Qiang (WeBank and Hong Kong University of Science and Technology) YangIllustration(s): Worked examples or ExercisesNumber of pages: 271Publication date: 2023Dimensions: 157 x 236 x 21Cover type: Hardback
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                                Magazin: Elefant.ro
                                Brand: Cambridge University Press