de Sousa Pacheco, Lucas

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Emami, Negar; Pacheco, Lucas; Di Maio, Antonio; Braun, Torsten (April 2022). RC-TL: Reinforcement Convolutional Transfer Learning for Large-scale Trajectory Prediction (In Press). In: IEEE/IFIP Network Operations and Management Symposium (NOMS). IEEE


de Sousa 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.

de Sousa Pacheco, Lucas; Rosario, Denis; Cerqueira, Eduardo; Villas, Leandro; Braun, Torsten; A. F. Loureiro, Antonio (30 June 2021). Distributed User-centric Service Migration for Edge-Enabled Networks (In Press). In: IFIP/IEEE International Symposium on Integrated Network Management. IEEE


Zhao, Zhongliang; Emami, Negar; Santos, Hugo; Pacheco, Lucas; Karimzadeh, Mostafa; Braun, Torsten; Braud, Arnaud; Radier, Benoit; Tamagnan, Philippe (2020). Reinforced-LSTM Trajectory Prediction-driven Dynamic Service Migration: A Case Study (Submitted). Transactions on Network Science and Engineering IEEE

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

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