Privacy-preserving Computing. for Big Data Analytics and AI, Hardback/***

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 Press Author(s): Qiang (WeBank and Hong Kong University of Science and Technology) Yang Illustration(s): Worked examples or Exercises Number of pages: 271 Publication date: 2023 Dimensions: 157 x 236 x 21 Cover type: Hardback