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Pacheco, Lucas; Braun, Torsten; Rosário, Denis; Di Maio, Antonio; Cerqueira, Eduardo (2024). A Distributed Aggregation Approach for Vehicular Federated Learning. IEEE access, p. 1. IEEE 10.1109/ACCESS.2024.3399484
Zhao, Zhongliang; Emami, Negar; Santos, Hugo; Pacheco, Lucas; Karimzadeh, Mostafa; Braun, Torsten; Braud, Arnaud; Radier, Benoit; Tamagnan, Philippe (2022). Reinforced-LSTM Trajectory Prediction-driven Dynamic Service Migration: A Case Study. Transactions on Network Science and Engineering, 9(4), pp. 2786-2802. IEEE 10.1109/TNSE.2022.3169786
Zhao, Zhongliang; Pacheco, Lucas; Santos, Hugo; Liu, Minghui; Di Maio, Antonio; Rosário, Denis; Cerqueira, Eduardo; Braun, Torsten; Cao, Xianbin (2021). Predictive UAV Base Station Deployment and Service Offloading with Distributed Edge Learning. IEEE Transactions on Network and Service Management, 18(4), pp. 3955-3972. IEEE 10.1109/TNSM.2021.3123216
Zhao, Zhongliang; Karimzadeh Motallebiazar, Mostafa; Pacheco, Lucas; Melo dos Santos, Hugo Leonardo; Rosario, Denis; Braun, Torsten; Cerqueira, Eduardo (2020). 5G UDN Proactive Handover with Transferable Reinforcement Learning-based Trajectory Prediction (Submitted). IEEE journal on selected areas in communications IEEE
Pacheco, Lucas; Braun, Torsten; Rosário, Denis; Cerqueira, Eduardo (2024). An Efficient Layer Selection Algorithm for Partial Federated Learning. In: 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (pp. 172-177). IEEE 10.1109/PerComWorkshops59983.2024.10503481
Pacheco, Lucas; Braun, Torsten (6 October 2022). Distributed Optimal-Transport Clustering for Malicious User Rejection in Federated-Learning VANETs. In: 3rd KuVS Fachgespräch "Machine Learning & Networking". Hasso-Plattner-Institut
Emami, Negar; Pacheco, Lucas; Di Maio, Antonio; Braun, Torsten (9 June 2022). RC-TL: Reinforcement Convolutional Transfer Learning for Large-scale Trajectory Prediction. In: IEEE/IFIP Network Operations and Management Symposium (NOMS 2022) (pp. 1-9). IEEE Xplore: IEEE 10.1109/NOMS54207.2022.9789883
Pacheco, Lucas; Rosário, Denis; Cerqueira, Eduardo; Braun, Torsten (September 2021). Federated User Clustering for non-IID Federated Learning. In: International Conference on Networked Systems 2021 (NetSys 2021). Lübeck, Germany. 13-16 September 2021.
Pacheco, Lucas; Samikwa, Eric; Braun, Torsten (23 April 2021). Distributed and Federated Learning Optimization with Federated Clustering of IID-users (Unpublished). In: Bern Data Science Day 2021. Bern, Switzerland. 23. April 2021.
Zhao, Zhongliang; Karimzadeh, Mostafa; Pacheco, Lucas; Santos, Hugo; Rosário, Denis; Braun, Torsten; Cerqueira, Eduardo (29 October 2020). Mobility Management with Transferable Reinforcement Learning Trajectory Prediction. IEEE Transactions on Network and Service Management, 17(4), pp. 2102-2116. IEEE 10.1109/TNSM.2020.3034482
Pacheco, Lucas; Oliveira, Helder; Rosário, Denis; Cerqueira, Eduardo; Villas, Leandro; Braun, Torsten (12 October 2020). Service Migration for Connected Autonomous Vehicles. In: 2020 IEEE Symposium on Computers and Communications (ISCC) (pp. 1-6). IEEE 10.1109/ISCC50000.2020.9219592
