Bemærk: Kan leveres før jul.
Forventes på lager: 16-11-2023
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.
| Forlag | Cambridge University Press |
| Forfattere | Kai (Hong Kong University of Science and Technology) Chen, Qiang (WeBank and Hong Kong University of Science and Technology) Yang |
| Type | Bog |
| Format | Hardback |
| Sprog | Engelsk |
| Udgivelsesdato | 16-11-2023 |
| Første udgivelsesår | 2023 |
| Illustrationer | Worked examples or Exercises |
| Originalsprog | United Kingdom |
| Sideantal | 271 |
| Indbinding | Hardback |
| Forlag | Cambridge University Press |
| Sideoplysninger | 271 pages, Worked examples or Exercises |
| Mål | 157 x 236 x 21 |
| ISBN-13 / EAN-13 | 9781009299510 |