A Tri-Factor Adaptive Federated Learning Framework for Parkinson’s Disease Diagnosis via Multi-Source Facial Expression Analysis
- DOI
- 10.1109/jbhi.2025.3605732
- Published
- 2026-03
- Container
- IEEE Journal of Biomedical and Health Informatics
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/jbhi.2025.3605732,
title = {A Tri-Factor Adaptive Federated Learning Framework for Parkinson’s Disease Diagnosis via Multi-Source Facial Expression Analysis},
author = {Meng Pang and Houwei Xu and Zheng Huang and Yintao Zhou and Shengbo Chen and Binghui Wang and Wei Huang},
year = {2026},
journal = {IEEE Journal of Biomedical and Health Informatics},
doi = {10.1109/jbhi.2025.3605732},
url = {https://doi.org/10.1109/jbhi.2025.3605732}
}RIS
TY - JOUR TI - A Tri-Factor Adaptive Federated Learning Framework for Parkinson’s Disease Diagnosis via Multi-Source Facial Expression Analysis AU - Meng Pang AU - Houwei Xu AU - Zheng Huang AU - Yintao Zhou AU - Shengbo Chen AU - Binghui Wang AU - Wei Huang PY - 2026 JO - IEEE Journal of Biomedical and Health Informatics DO - 10.1109/jbhi.2025.3605732 UR - https://doi.org/10.1109/jbhi.2025.3605732 ER -
APA
Pang, M., Xu, H., Huang, Z., Zhou, Y., Chen, S., Wang, B., & Huang, W. (2026). A Tri-Factor Adaptive Federated Learning Framework for Parkinson’s Disease Diagnosis via Multi-Source Facial Expression Analysis. IEEE Journal of Biomedical and Health Informatics. https://doi.org/10.1109/jbhi.2025.3605732
Source records
- crossref · retrieved 2026-09-26T04:22:45.784Z