Sarhad Arisdakessian, Omar Abdel Wahab, Osama Wehbi, Azzam Mourad and Hadi Otrok
Paper (2024)
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| Department: | Department of Computer Engineering and Software Engineering |
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| ISBN: | 9798350392296 |
| PolyPublie URL: | https://publications.polymtl.ca/59542/ |
| Conference Title: | IEEE Annual Congress on Artificial Intelligence of Things (AIoT 2024) |
| Conference Location: | Melbourne, Australia |
| Conference Date(s): | 2024-07-24 - 2024-07-26 |
| Publisher: | IEEE |
| DOI: | 10.1109/aiot63253.2024.00020 |
| Official URL: | https://doi.org/10.1109/aiot63253.2024.00020 |
| Date Deposited: | 29 Oct 2024 13:18 |
| Last Modified: | 08 Apr 2025 14:41 |
| Cite in APA 7: | Arisdakessian, S., Wahab, O. A., Wehbi, O., Mourad, A., & Otrok, H. (2024, July). Trustworthy Hierarchical Federated Learning for Digital Healthcare [Paper]. IEEE Annual Congress on Artificial Intelligence of Things (AIoT 2024), Melbourne, Australia. https://doi.org/10.1109/aiot63253.2024.00020 |
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