Journal · 2025
Cross-dataset performance evaluation and secure federated learning with weighted model aggregation for MRI brain tumor image classification
- 8
- Citations
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Publication details
- Venue
- The Journal of Supercomputing
- Type
- Journal · 2025
- DOI
- 10.1007/S11227-025-08051-7
- Citations
- 8 · via Crossref, 17 September 2026
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Appasami, G., Savarimuthu, N., & G, A. (2025). Cross-dataset performance evaluation and secure federated learning with weighted model aggregation for MRI brain tumor image classification. The Journal of Supercomputing. https://doi.org/10.1007/S11227-025-08051-7
Appasami, G., Savarimuthu, N. and G, A. (2025) 'Cross-dataset performance evaluation and secure federated learning with weighted model aggregation for MRI brain tumor image classification', The Journal of Supercomputing. doi: 10.1007/S11227-025-08051-7.
G. Appasami, N. Savarimuthu, and A. G, "Cross-dataset performance evaluation and secure federated learning with weighted model aggregation for MRI brain tumor image classification," The Journal of Supercomputing, 2025. doi: 10.1007/S11227-025-08051-7.
Appasami G, Savarimuthu N, G A. Cross-dataset performance evaluation and secure federated learning with weighted model aggregation for MRI brain tumor image classification. The Journal of Supercomputing. 2025. doi: 10.1007/S11227-025-08051-7.
Appasami, G., et al.. "Cross-dataset performance evaluation and secure federated learning with weighted model aggregation for MRI brain tumor image classification." The Journal of Supercomputing, 2025. https://doi.org/10.1007/S11227-025-08051-7.
Appasami, G., Savarimuthu, N., G, A.. "Cross-dataset performance evaluation and secure federated learning with weighted model aggregation for MRI brain tumor image classification." The Journal of Supercomputing (2025). https://doi.org/10.1007/S11227-025-08051-7.
@article{appasami2025, title={Cross-dataset performance evaluation and secure federated learning with weighted model aggregation for MRI brain tumor image classification}, author={Appasami, G. and Savarimuthu, Nickolas and G, Appasami}, journal={The Journal of Supercomputing}, year={2025}, doi={10.1007/S11227-025-08051-7}, }