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ORCIDVeronika Stephanie
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2020 – today
- 2024
[j6]Veronika Stephanie
, Ibrahim Khalil, Mohammed Atiquzzaman:
DSFL: A Decentralized SplitFed Learning Approach for Healthcare Consumers in the Metaverse. IEEE Trans. Consumer Electron. 70(1): 2107-2115 (2024)- 2023
- [j5]Veronika Stephanie, Ibrahim Khalil, Mohammad Saidur Rahman, Mohammed Atiquzzaman:
Privacy-Preserving Ensemble Infused Enhanced Deep Neural Network Framework for Edge Cloud Convergence. IEEE Internet Things J. 10(5): 3763-3773 (2023) - [j4]Veronika Stephanie, Ibrahim Khalil, Mohammed Atiquzzaman:
Digital Twin Enabled Asynchronous SplitFed Learning in E-Healthcare Systems. IEEE J. Sel. Areas Commun. 41(11): 3650-3661 (2023) - [j3]Veronika Stephanie, Ibrahim Khalil, Mohammed Atiquzzaman, Xun Yi:
Trustworthy Privacy-Preserving Hierarchical Ensemble and Federated Learning in Healthcare 4.0 With Blockchain. IEEE Trans. Ind. Informatics 19(7): 7936-7945 (2023) - [i3]Aditya Pribadi Kalapaaking, Veronika Stephanie, Ibrahim Khalil, Mohammed Atiquzzaman, Xun Yi, Mahathir Almashor:
SMPC-based Federated Learning for 6G enabled Internet of Medical Things. CoRR abs/2304.13352 (2023) - [i2]Veronika Stephanie, Ibrahim Khalil, Mohammed Atiquzzaman, Xun Yi:
Trustworthy Privacy-preserving Hierarchical Ensemble and Federated Learning in Healthcare 4.0 with Blockchain. CoRR abs/2305.09209 (2023) - [i1]Veronika Stephanie, Ibrahim Khalil, Mohammad Saidur Rahman, Mohammed Atiquzzaman:
Privacy-Preserving Ensemble Infused Enhanced Deep Neural Network Framework for Edge Cloud Convergence. CoRR abs/2305.09224 (2023) - 2022
- [j2]Veronika Stephanie, M. A. P. Chamikara, Ibrahim Khalil, Mohammed Atiquzzaman:
Privacy-preserving location data stream clustering on mobile edge computing and cloud. Inf. Syst. 107: 101728 (2022) - [j1]Aditya Pribadi Kalapaaking, Veronika Stephanie, Ibrahim Khalil, Mohammed Atiquzzaman, Xun Yi, Mahathir Almashor:
SMPC-Based Federated Learning for 6G-Enabled Internet of Medical Things. IEEE Netw. 36(4): 182-189 (2022)
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