A Comparative Study of Client-Level Stabilization Techniques in Federated Learning for Robust Plant Disease Recognition
- DOI
- 10.3390/s26206566
- Published
- 2026-10-16
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26206566,
title = {A Comparative Study of Client-Level Stabilization Techniques in Federated Learning for Robust Plant Disease Recognition},
author = {Ana-Maria Cristea and Ciprian Dobre},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26206566},
url = {https://doi.org/10.3390/s26206566}
}RIS
TY - JOUR TI - A Comparative Study of Client-Level Stabilization Techniques in Federated Learning for Robust Plant Disease Recognition AU - Ana-Maria Cristea AU - Ciprian Dobre PY - 2026 JO - Sensors DO - 10.3390/s26206566 UR - https://doi.org/10.3390/s26206566 ER -
APA
Cristea, A., & Dobre, C. (2026). A Comparative Study of Client-Level Stabilization Techniques in Federated Learning for Robust Plant Disease Recognition. Sensors. https://doi.org/10.3390/s26206566
Source records
- crossref · retrieved 2026-11-07T10:26:04.537Z