Conference Paper 2026

Privacy-Preserving Federated Deep Learning for Nomophobia Risk Prediction From Smartphone Usage Logs

Md Wahidur Rahman, Mehdi Hasan, Mais Nijim, Muhammad Armughan Ul Haq, Fawaz Ali Mohammed

2026 IEEE 5th International Conference on AI in Cybersecurity (ICAIC), pp. 1–6

Type
Conference Paper
Year
2026
Venue
2026 IEEE 5th International Conference on AI in Cybersecurity (ICAIC)
Pages
1–6
Publisher
IEEE

Overview

Conference Paper published in 2026 IEEE 5th International Conference on AI in Cybersecurity (ICAIC) (2026) · 5 authors

Research areas

Matched from the title, keywords and assigned research area.

Abstract

Abstract is not stored locally. View the publisher record for the official abstract.

Authors

  1. Md Wahidur Rahman Portfolio Author
  2. Mehdi Hasan
  3. Mais Nijim
  4. Muhammad Armughan Ul Haq
  5. Fawaz Ali Mohammed

Keywords

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Citation

IEEE

M. W. Rahman, M. Hasan, M. Nijim, M. A. U. Haq, and F. A. Mohammed, "Privacy-Preserving Federated Deep Learning for Nomophobia Risk Prediction From Smartphone Usage Logs," in 2026 IEEE 5th International Conference on AI in Cybersecurity (ICAIC), 2026, pp. 1–6.

BibTeX

@inproceedings{rahman2026privacy,
  title={Privacy-Preserving Federated Deep Learning for Nomophobia Risk Prediction From Smartphone Usage Logs},
  author={Rahman, Md Wahidur and Hasan, Mehdi and Nijim, Mais and Haq, Muhammad Armughan Ul and Mohammed, Fawaz Ali},
  booktitle={2026 IEEE 5th International Conference on AI in Cybersecurity (ICAIC)},
  pages={1--6},
  year={2026},
  organization={IEEE}
}