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FLITC: A Novel Federated Learning-Based Method for IoT Traffic Classification.

, , and . SMARTCOMP, page 206-212. IEEE, (2022)

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QARIMA: A new approach to prediction in queue theory., , , and . Appl. Math. Comput., (2014)Active Learning for Network Traffic Classification: A Technical Study., , , and . IEEE Trans. Cogn. Commun. Netw., 8 (1): 422-439 (2022)A Comprehensive Survey on 6G Networks: Applications, Core Services, Enabling Technologies, and Future Challenges., , , , and . CoRR, (2021)Internet Traffic Classification Using an Ensemble of Deep Convolutional Neural Networks., , , and . FlexNets@SIGCOMM, page 38-43. ACM, (2021)Last significant trend change detection method for offline poisson distribution datasets., , and . ISNCC, page 1-7. IEEE, (2017)An Outlier Detection Method to Improve Gathered Datasets for Network Behavior Analysis in IoT., and . J. Commun., 14 (6): 455-462 (2019)Hierarchical distributed management clustering protocol for wireless sensor networks., , and . Telecommun. Syst., 65 (1): 193-214 (2017)FLITC: A Novel Federated Learning-Based Method for IoT Traffic Classification., , and . SMARTCOMP, page 206-212. IEEE, (2022)A distributed Front-end Edge node assessment model by using Fuzzy and a learning-to-rank method-machine learning., and . (January 2019)A Review on the effects of IoT and Smart Cities Technologies on Urbanism., , and . SEEDA-CECNSM, page 1-8. IEEE, (2018)