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HFedSNN: Efficient Hierarchical Federated Learning using Spiking Neural Networks.

, , and . MobiWac, page 53-60. ACM, (2023)

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Decision tree-based blending method using deep-learning for network management., , and . NOMS, page 1-7. IEEE, (2022)SURFS: Sustainable IntrUsion Detection with HieraRchical Federated Spiking Neural Networks., and . ICC, page 2173-2178. IEEE, (2024)Machine Learning-Enabled Network Traffic Analysis. (Analyse du trafic réseau basée sur l'apprentissage automatique).. University of Nantes, France, (2022)Ensemble-Based Deep Learning Model for Network Traffic Classification., , and . IEEE Trans. Netw. Serv. Manag., 19 (4): 4124-4135 (December 2022)HFedSNN: Efficient Hierarchical Federated Learning using Spiking Neural Networks., , and . MobiWac, page 53-60. ACM, (2023)Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions., , , , , , , and . CoRR, (2021)A Semi-supervised Stacked Autoencoder Approach for Network Traffic Classification., , and . ICNP, page 1-6. IEEE, (2020)Toward a Scalable and Energy-Efficient Framework for Industrial Cloud-Edge-IoT Continuum., and . IEEE Internet Things Mag., 7 (5): 14-20 (September 2024)Federated Learning for intrusion detection system: Concepts, challenges and future directions., , , , , , , , and . Comput. Commun., (2022)Handling Privacy-Sensitive Medical Data With Federated Learning: Challenges and Future Directions., , , and . IEEE J. Biomed. Health Informatics, 27 (2): 790-803 (February 2023)