Monitoring Concept Drift in Continuous Federated Learning Platforms
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-58553-1_7
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3. Canonaco, G., Bergamasco, A., Mongelluzzo, A., Roveri, M.: Adaptive federated learning in presence of concept drift. In: 2021 International Joint Conference on Neural Networks (IJCNN), pp. 1–7. IEEE (2021)
4. Casado, F.E., Lema, D., Criado, M.F., Iglesias, R., Regueiro, C.V., Barro, S.: Concept drift detection and adaptation for federated and continual learning. Multimed. Tools App. 81, 1–23 (2022)
5. Casado, F.E., Lema, D., Iglesias, R., Regueiro, C.V., Barro, S.: Ensemble and continual federated learning for classification tasks. Mach. Learn. 112, 3413–3453 (2023)
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