REDRAW: fedeRatED leaRning for humAn Wellbeing
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-57931-8_10
Reference9 articles.
1. Di Martino, B., Venticinque, S., Esposito, A., D’Angelo, S.: A methodology based on computational patterns for offloading of big data applications on cloud-edge platforms. Future Internet 12(2), 28 (2020)
2. Izmailova, E.S., Wagner, J.A., Perakslis, E.D.: Wearable devices in clinical trials: hype and hypothesis. Clin. Pharmacol. Ther. 104(1), 42–52 (2018)
3. Lo, S.K., Lu, Q., Zhu, L., Paik, H., Xu, X., Wang, C.: Architectural patterns for the design of federated learning systems. CoRR abs/2101.02373 (2021)
4. Martino, B.D., Esposito, A.: Applying patterns to support deployment in cloud-edge environments: A case study. In: Barolli, L., Woungang, I., Enokido, T. (eds.) Advanced Information Networking and Applications - Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Toronto, ON, Canada, 12-14 May, 2021, Volume 3, Lecture Notes in Networks and Systems, vol. 227, pp. 139–148. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-75078-7_15
5. Martino, B.D., Graziano, M., Cante, L.C., Cascone, D.: Analysis of techniques for mapping convolutional neural networks onto cloud edge architectures using splitfed learning method. In: Barolli, L., Hussain, F., Enokido, T. (eds.) Advanced Information Networking and Applications - Proceedings of the 36th International Conference on Advanced Information Networking and Applications (AINA-2022), Volume 3, Lecture Notes in Networks and Systems,, vol. 451, pp. 163–172. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-99619-2_16
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