Towards Vox Populi in Federated Learning: A Fair and Inclusive Client Selection Framework

Sarhad Arisdakessian, Osama Wehbi, Omar Abdul Wahab, Azzam Mourad and Hadi Otrok

Article (2025)

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Department:	Department of Computer Engineering and Software Engineering
PolyPublie URL:	https://publications.polymtl.ca/68745/
Journal Title:	IEEE Transactions on Artificial Intelligence (vol. 1)
Publisher:	Institute of Electrical and Electronics Engineers
DOI:	10.1109/tai.2025.3609733
Official URL:	https://doi.org/10.1109/tai.2025.3609733
Date Deposited:	22 Sep 2025 11:27
Last Modified:	22 Sep 2025 11:27

Cite in APA 7:	Arisdakessian, S., Wehbi, O., Abdul Wahab, O., Mourad, A., & Otrok, H. (2025). Towards Vox Populi in Federated Learning: A Fair and Inclusive Client Selection Framework. IEEE Transactions on Artificial Intelligence, 1, 1-15. https://doi.org/10.1109/tai.2025.3609733
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