Efficient Disaster-Resilient Network Slicing for URLLC in UAV-Enabled MEC Using Federated Learning
- DOI
- 10.1109/honet63146.2024.10822992
- Published
- 2024-12-03
- Container
- 2024 IEEE 21st International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT (HONET)
- Publisher
- IEEE
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/honet63146.2024.10822992,
title = {Efficient Disaster-Resilient Network Slicing for URLLC in UAV-Enabled MEC Using Federated Learning},
author = {Ryma Boussaha and Yacine Challal},
year = {2024},
journal = {2024 IEEE 21st International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT (HONET)},
doi = {10.1109/honet63146.2024.10822992},
url = {https://doi.org/10.1109/honet63146.2024.10822992}
}RIS
TY - JOUR TI - Efficient Disaster-Resilient Network Slicing for URLLC in UAV-Enabled MEC Using Federated Learning AU - Ryma Boussaha AU - Yacine Challal PY - 2024 JO - 2024 IEEE 21st International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT (HONET) DO - 10.1109/honet63146.2024.10822992 UR - https://doi.org/10.1109/honet63146.2024.10822992 ER -
APA
Boussaha, R., & Challal, Y. (2024). Efficient Disaster-Resilient Network Slicing for URLLC in UAV-Enabled MEC Using Federated Learning. 2024 IEEE 21st International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT (HONET). https://doi.org/10.1109/honet63146.2024.10822992
Source records
- crossref · retrieved 2026-09-26T12:55:21.753Z