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Feature classification by means of deep belief networks for speaker recognition., , and . EUSIPCO, page 2117-2121. IEEE, (2015)Demonstration of Federated Learning over Edge-Computing Enabled Metro Optical Networks., , , , , and . ECOC, page 1-4. IEEE, (2020)Vertical Federated Learning for Privacy-Preserving ML Model Development in Partially Disaggregated Networks., , , and . ECOC, page 1-4. IEEE, (2021)Analysis and Mitigation of Unwanted Biases in ML-based QoT Classification Tasks., , , , and . OFC, page 1-3. IEEE, (2024)Self Multi-Head Attention for Speaker Recognition., , and . INTERSPEECH, page 4305-4309. ISCA, (2019)Restricted Boltzmann Machine Vectors for Speaker Clustering., , and . IberSPEECH, page 10-14. ISCA, (2018)Deep Convolutional Neural Network for Network-wide QoT Estimation., , , and . OFC, page 1-3. IEEE, (2021)LIMSI$@$WMT'17., , , , and . WMT, page 257-264. Association for Computational Linguistics, (2017)Traffic Monitoring and Analytics Framework for Optical Access Networks., , , , , and . CSNDSP, page 852-856. IEEE, (2022)F5G OpenLab: Enabling Twin Transition through Ubiquitous Fiber Connectivity., , , , , , , and . ICTON, page 1-4. IEEE, (2023)