Privacy-Preserving Federated Learning based on Differential Privacy and Momentum Gradient Descent

Weng, S., Zhang, L. , Feng, D., Feng, C., Wang, R., Valente Klaine, P. and Imran, M. A. (2022) Privacy-Preserving Federated Learning based on Differential Privacy and Momentum Gradient Descent. In: IEEE World Congress on Computational Intelligence (WCCI 2022), Padua, Italy, 18-23 Jul 2022, (Accepted for Publication)

[img] Text
271300.pdf - Accepted Version
Restricted to Repository staff only

307kB

Abstract

No abstract available.

Item Type:Conference Proceedings
Status:Accepted for Publication
Refereed:Yes
Glasgow Author(s) Enlighten ID:Zhang, Professor Lei and Weng, Shangyin and Valente Klaine, Mr Paulo and Imran, Professor Muhammad and Wang, Mr Ruiyu
Authors: Weng, S., Zhang, L., Feng, D., Feng, C., Wang, R., Valente Klaine, P., and Imran, M. A.
College/School:College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
Related URLs:

University Staff: Request a correction | Enlighten Editors: Update this record