Di Maio, Antonio

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2022

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

Samikwa, Eric; Di Maio, Antonio; Braun, Torsten (11 January 2022). Adaptive Early Exit of Computation for Energy-Efficient and Low-Latency Machine Learning over IoT Networks. IEEE Xplore, pp. 200-206. IEEE 10.1109/CCNC49033.2022.9700550

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

Medeiros, Alisson; Braun, Torsten; Di Maio, Antonio; Neto, Augusto (2021). REACT: A Solidarity-based Elastic Service Resource Reallocation Strategy for Multi-access Edge Computing. Physical communications, 47, p. 101380. Elsevier 10.1016/j.phycom.2021.101380

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