GNN-ML-FRL: a graph-enhanced meta-adaptive federated learning framework for scalable pest identification and ernvironmental modeling
- DOI
- 10.1038/s41598-026-49344-y
- Published
- 2026-05-01
- 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/s41598-026-49344-y,
title = {GNN-ML-FRL: a graph-enhanced meta-adaptive federated learning framework for scalable pest identification and ernvironmental modeling},
author = {Mahalakshmi and Suma T and Sandeep Kumar Mathivanan and Sangeetha R and Rose Bindu Joseph and Sangeetha S.K.B},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-49344-y},
url = {https://doi.org/10.1038/s41598-026-49344-y}
}RIS
TY - JOUR TI - GNN-ML-FRL: a graph-enhanced meta-adaptive federated learning framework for scalable pest identification and ernvironmental modeling AU - Mahalakshmi AU - Suma T AU - Sandeep Kumar Mathivanan AU - Sangeetha R AU - Rose Bindu Joseph AU - Sangeetha S.K.B PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-49344-y UR - https://doi.org/10.1038/s41598-026-49344-y ER -
APA
Mahalakshmi, T, S., Mathivanan, S. K., R, S., Joseph, R. B., & S.K.B, S. (2026). GNN-ML-FRL: a graph-enhanced meta-adaptive federated learning framework for scalable pest identification and ernvironmental modeling. Scientific Reports. https://doi.org/10.1038/s41598-026-49344-y
Source records
- crossref · retrieved 2026-09-26T02:11:02.960Z