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A Semi-supervised Stacked Autoencoder Approach for Network Traffic Classification.

, , and . ICNP, page 1-6. IEEE, (2020)

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Coordinated architecture for wireless home networks., and . HomeNets@SIGCOMM, page 49-54. ACM, (2011)SURFS: Sustainable IntrUsion Detection with HieraRchical Federated Spiking Neural Networks., and . ICC, page 2173-2178. IEEE, (2024)Network Traffic Classification Using Machine Learning for Software Defined Networks., , and . MLN, volume 12081 of Lecture Notes in Computer Science, page 28-39. Springer, (2019)Decision tree-based blending method using deep-learning for network management., , and . NOMS, page 1-7. IEEE, (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)New Method for Exemplar Selection and Application to VANET Experimentation., , , and . GLOBECOM, page 1-6. IEEE, (2018)Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions., , , , , , , and . CoRR, (2021)CLAP: coordinated lightweight APs architecture for wireless IPTV service in home networks., and . PM2HW2N@MSWiM, page 113-122. ACM, (2011)A Semi-supervised Stacked Autoencoder Approach for Network Traffic Classification., , and . ICNP, page 1-6. IEEE, (2020)