Privacy-preserving location data stream clustering on mobile edge computing and cloud. - Veronika Stephanie; M. A. P. Chamikara; Ibrahim Khalil 001; Mohammed Atiquzzaman (Inf. Syst., 2022)

SMPC-Based Federated Learning for 6G-Enabled Internet of Medical Things. - Aditya Pribadi Kalapaaking; Veronika Stephanie; Ibrahim Khalil 001; Mohammed Atiquzzaman; Xun Yi; Mahathir Almashor (IEEE Netw., 2022)

Privacy-Preserving Ensemble Infused Enhanced Deep Neural Network Framework for Edge Cloud Convergence. - Veronika Stephanie; Ibrahim Khalil 001; Mohammad Saidur Rahman 001; Mohammed Atiquzzaman (IEEE Internet Things J., 2023)

Trustworthy Privacy-Preserving Hierarchical Ensemble and Federated Learning in Healthcare 4.0 With Blockchain. - Veronika Stephanie; Ibrahim Khalil 001; Mohammed Atiquzzaman; Xun Yi (IEEE Trans. Ind. Informatics, 2023)

Digital Twin Enabled Asynchronous SplitFed Learning in E-Healthcare Systems. - Veronika Stephanie; Ibrahim Khalil 001; Mohammed Atiquzzaman (IEEE J. Sel. Areas Commun., 2023)

DSFL: A Decentralized SplitFed Learning Approach for Healthcare Consumers in the Metaverse. - Veronika Stephanie; Ibrahim Khalil 001; Mohammed Atiquzzaman (IEEE Trans. Consumer Electron., 2024)

Weight-Based Privacy-Preserving Asynchronous SplitFed for Multimedia Healthcare Data. - Veronika Stephanie; Ibrahim Khalil 001; Mohammed Atiquzzaman (ACM Trans. Multim. Comput. Commun. Appl., 2024)