de Sousa Pacheco, Lucas

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2023

de Sousa Pacheco, Lucas; Braun, Torsten (5 May 2023). Asynchronous Federated Learning for Personalized Healthcare: Enhancing Privacy and Efficiency through Machine Learning and Computer Networking Integration. In: Bern Data Science Day. Data Science Lab: University of Bern

2022

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

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

2021

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

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; Oliveira, Helder; Rosário, Denis; Zhao, Zhongliang; Cerqueira, Eduardo; Braun, Torsten; Mendes, Paulo (2021). Towards the Future of Edge Computing in the Sky: Outlook and Future Directions. International Conference on Distributed Computing in Sensor Systems, pp. 220-227. IEEE 10.1109/DCOSS52077.2021.00045

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

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.

2020

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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