FireSmoke-FL: a privacy-preserving federated learning framework for real-time fire and smoke detection
- DOI
- 10.1038/s41598-026-59830-y
- Published
- 2026-07-01
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-59830-y,
title = {FireSmoke-FL: a privacy-preserving federated learning framework for real-time fire and smoke detection},
author = {Fahad Alblehai and Nasser Alalwan and Ahmed Ibrahim Alzahrani and Ali H. Al-Bayatti and Hosam Al-Samarraie and AbdAllah A. AlHabshy and Amr Abozeid},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-59830-y},
url = {https://doi.org/10.1038/s41598-026-59830-y}
}RIS
TY - JOUR TI - FireSmoke-FL: a privacy-preserving federated learning framework for real-time fire and smoke detection AU - Fahad Alblehai AU - Nasser Alalwan AU - Ahmed Ibrahim Alzahrani AU - Ali H. Al-Bayatti AU - Hosam Al-Samarraie AU - AbdAllah A. AlHabshy AU - Amr Abozeid PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-59830-y UR - https://doi.org/10.1038/s41598-026-59830-y ER -
APA
Alblehai, F., Alalwan, N., Alzahrani, A. I., Al-Bayatti, A. H., Al-Samarraie, H., AlHabshy, A. A., & Abozeid, A. (2026). FireSmoke-FL: a privacy-preserving federated learning framework for real-time fire and smoke detection. Scientific Reports. https://doi.org/10.1038/s41598-026-59830-y
Source records
- crossref · retrieved 2026-09-26T07:45:07.978Z