كتاب إلكتروني
FedCMK: An Efficient Privacy-Preserving Federated Learning Framework
| العنوان: | FedCMK: An Efficient Privacy-Preserving Federated Learning Framework |
|---|---|
| المؤلفون: | Lu, PengyuAff10, Meng, XianjiaAff10, Aff11, Liu, XimengAff11 |
| المساهمون: | Goos, Gerhard, Founding EditorAff1, Hartmanis, Juris, Founding EditorAff2, Bertino, Elisa, Editorial Board MemberAff3, Gao, Wen, Editorial Board MemberAff4, Steffen, Bernhard, Editorial Board MemberAff5, Yung, Moti, Editorial Board MemberAff6, Vaidya, Jaideep, editorAff7, Gabbouj, Moncef, editorAff8, Li, Jin, editorAff9 |
| المصدر: | Artificial Intelligence Security and Privacy : First International Conference on Artificial Intelligence Security and Privacy, AIS&P 2023, Guangzhou, China, December 3–5, 2023, Proceedings, Part I. 14509:253-271 |
| قاعدة البيانات: | Springer Nature eBooks |
| ردمك: | 9789819997848 9789819997855 |
|---|---|
| DOI: | 10.1007/978-981-99-9785-5_18 |