A Personalized Federated Learning Algorithm for One-Class Support Vector Machine: An Application in Anomaly Detection
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Publisher
Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-031-08760-8_31
Reference12 articles.
1. Anaissi, A., Goyal, M., Catchpoole, D.R., Braytee, A., Kennedy, P.J.: Ensemble feature learning of genomic data using support vector machine. PloS One 11(6), e0157330 (2016)
2. Anaissi, A., et al.: Adaptive one-class support vector machine for damage detection in structural health monitoring. In: Kim, J., Shim, K., Cao, L., Lee, J.-G., Lin, X., Moon, Y.-S. (eds.) PAKDD 2017. LNCS (LNAI), vol. 10234, pp. 42–57. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-57454-7_4
3. Anaissi, A., Khoa, N.L.D., Rakotoarivelo, T., Alamdari, M.M., Wang, Y.: Self-advised incremental one-class support vector machines: an application in structural health monitoring. In: International Conference on Neural Information Processing. pp. 484–496. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-70087-8_51
4. Anaissi, A., Khoa, N.L.D., Rakotoarivelo, T., Alamdari, M.M., Wang, Y.: Adaptive online one-class support vector machines with applications in structural health monitoring. ACM Trans. Intell. Syst. Technol. 9(6), 1–20 (2018)
5. Anaissi, A., Makki Alamdari, M., Rakotoarivelo, T., Khoa, N.: A tensor-based structural damage identification and severity assessment. Sensors 18(1), 111 (2018)
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