Transmission analysis by using federated machine learning model in optical access networks based multi-agent communication and routing system
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials
Link
https://link.springer.com/content/pdf/10.1007/s11082-023-05475-4.pdf
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4. Bernárdez, G., Suárez-Varela, J., López, A., Shi, X., Xiao, S., Cheng, X., Cabellos-Aparicio, A., et al.: MAGNNETO: a graph neural network-based multi-agent system for traffic engineering. IEEE Trans. Cogn Commun. Netw. (2023). https://doi.org/10.1109/TCCN.2023.3235719
5. Das, S.K., Benkhelifa, F., Sun, Y., Abumarshoud, H., Abbasi, Q.H., Imran, M.A., Mohjazi, L.: Comprehensive review on ML-based RIS-enhanced IoT systems: basics, research progress and future challenges. Comput. Netw. 224, 109581 (2023)
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