Hugo De Oliveira

Post-doctorant
Site web :
Bureau : 35.1.49

2026

Articles de revue

  1. Oliveira, H. De; Foissey, L.; Shnaiwer, Y. and Kaneko, M. Energy-Aware Pruning for Federated Deep Reinforcement Learning in Multi-Interface IoT Networks. In IEEE Internet of Things Journal, 13 (4): 6713-6726, 2026. doi  www 

Non publié

  1. Guemdani, M.; de Oliveira, H.; Cheng, R-G.; Phung, C. D.; Secci, S.; Gu, P. and Kaneko, M. Monolithic versus Disaggregated 5G-RAN Open Systems. , Preprint of a paper submitted to IEEE Transactions on Network and Service Management. Not yet peer-reviewed. www 

2025

Thèses et habilitations

  1. de Oliveira, H. Reinforcement Learning and Federated Learning-based Multi-Band Assignment for IoT Short Packet Communications. Ph.D. Thesis, Université Paris-Saclay ; The Graduate University for Advanced Studies (Hayama (Japon) ; 1988-....), 2025. doi 

2024

Articles de revue

  1. Oliveira, H. De; Kaneko, M. and Boukhatem, L. Federated Multiagent Deep Reinforcement Learning for Intelligent IoT Wireless Communications: Overview and Challenges. In IEEE Vehicular Technology Magazine, 19 (4): 73-82, 2024. doi  www 

Articles de conférence

  1. de Oliveira, H.; Kaneko, M. and Boukhatem, L. Smart Band Association for Wireless IoT Networks: a Personalized Federated Multi-Agent Deep Reinforcement Learning Approach. In 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall), pages 1-6, IEEE, Washington, United States, 2024. doi  www 

2023

Articles de revue

  1. de Oliveira, H.; Kaneko, M.; Boukhatem, L. and Fukuda, E. H. Deep Reinforcement Learning-Aided Optimization of Multi-Interface Allocation for Short-Packet Communications. In IEEE Transactions on Cognitive Communications and Networking, 9 (3): 738-753, 2023. doi  www 
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