Di Maio, Antonio

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2024

Ajayi, Jesutofunmi; Di Maio, Antonio; Braun, Torsten (7 May 2024). Drift-Aware Policy Selection for Slice Admission Control. In: IEEE/IFIP Network Operations and Management Symposium. IEEE 10.1109/NOMS59830.2024.10575766

Samikwa, Eric; Di Maio, Antonio; Braun, Torsten (2024). DFL: Dynamic Federated Split Learning in Heterogeneous IoT. IEEE transactions on machine learning in communications and networking, 2, pp. 733-752. IEEE 10.1109/TMLCN.2024.3409205

Samikwa, Eric; Schärer, Jakob; Braun, Torsten; Di Maio, Antonio (16 October 2023). Machine Learning-based Energy Optimisation in Smart City Internet of Things. In: 24th International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc AIoT Workshop 2023) (pp. 364-369). ACM 10.1145/3565287.3616527

Samikwa, Eric; Di Maio, Antonio; Braun, Torsten (2023). DISNET: Distributed Micro-Split Deep Learning in Heterogeneous Dynamic IoT. IEEE internet of things journal, 11(1), p. 1. IEEE 10.1109/JIOT.2023.3313514

Xenakis, Dimitrios; Di Maio, Antonio; Braun, Torsten (2 August 2023). ARLCL: Anchor-free Ranging-Likelihood-based Cooperative Localization. In: IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM 2023) (pp. 36-45). IEEE Xplore: IEEE 10.1109/WoWMoM57956.2023.00018

Xenakis, Dimitrios; Samikwa, Eric; Ajayi, Jesutofunmi; Di Maio, Antonio; Braun, Torsten; Schlegel, Katja (6 July 2023). Towards Personality Detection and Prediction using Smartphone Sensor Data. In: 21st Mediterranean Communication and Computer Networking Conference (MedComNet 2023) (pp. 121-130). IEEE 10.1109/MedComNet58619.2023.10168869

Schaerer, Jakob; Di Maio, Antonio; Braun, Torsten (21 June 2023). APS: An Auditable Positioning System Based on Angle-of-Arrival Proof of Location and Graph of Trust. In: IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom 2023 Workshops) (pp. 446-452). IEEE Xplore: IEEE 10.1109/PerComWorkshops56833.2023.10150318

Ajayi, Jesutofunmi; Di Maio, Antonio; Braun, Torsten; Xenakis, Dimitrios (17 March 2023). An Online Multi-dimensional Knapsack Approach for Slice Admission Control. In: 20th Consumer Communications & Networking Conference (CCNC 2023) (pp. 152-157). IEEE Xplore: IEEE 10.1109/CCNC51644.2023.10060460

Medeiros, Alisson; Di Maio, Antonio; Braun, Torsten; Neto, Augusto (11 January 2023). Service Chaining Graph: Latency- and Energy-aware Mobile VR Deployment over MEC Infrastructures. In: IEEE Global Communications Conference (GLOBECOM 2022) (pp. 6133-6138). IEEE Xplore: IEEE 10.1109/GLOBECOM48099.2022.10001403

Emami, Negar; Di Maio, Antonio; Braun, Torsten (2023). FedForce: Network-adaptive Federated Learning for Reinforced Mobility Prediction. In: The 48th IEEE Conference on Local Computer Networks (LCN) (pp. 1-9). IEEE Xplore: IEEE 10.1109/LCN58197.2023.10223407

Emami, Negar; Di Maio, Antonio; Braun, Torsten (2023). GTP-Force: Game-Theoretic Trajectory Prediction through Distributed Reinforcement Learning. In: The 20th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS 2023). IEEE Xplore: IEEE

Medeiros, Alisson; Di Maio, Antonio; Braun, Torsten; Neto, Augusto (2023). TENET: Adaptive Service Chain Orchestrator for MEC-enabled Low-latency 6DoF Virtual Reality. IEEE Transactions on Network and Service Management, 20(3), p. 1. IEEE 10.1109/TNSM.2023.3331755

Di Maio, Antonio; Aghaei Dinani, Mina; Rizzo, Gianluca (2023). The Upsides of Turbulence: Baselining Gossip Learning in Dynamic Settings. In: 24th International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc AIoT Workshop 2023) (pp. 376-381). ACM 10.1145/3565287.3616530

Xenakis, Dimitrios; Di Maio, Antonio; Braun, Torsten (2023). ARLCL-Optimizer. [Software & Other Digital Items]

Schärer, Jakob; Di Maio, Antonio; Braun, Torsten (25 November 2022). SecureAoX: A Location Verification System. In: 14th IFIP Wireless and Mobile Networking Conference (WMNC 2022) (pp. 38-45). IEEE Xplore: IEEE 10.23919/WMNC56391.2022.9954303

Emami, Negar; Di Maio, Antonio; Braun, Torsten (15 November 2022). INTRAFORCE: Intra-Cluster Reinforced Social Transformer for Trajectory Prediction. In: 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2022) (pp. 333-338). IEEE Xplore: IEEE 10.1109/WiMob55322.2022.9941547

Samikwa, Eric; Di Maio, Antonio; Braun, Torsten (2022). ARES: Adaptive Resource-Aware Split Learning for Internet of Things. Computer Networks, 218, p. 109380. Elsevier 10.1016/j.comnet.2022.109380

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

Samikwa, Eric; Di Maio, Antonio; Braun, Torsten (10 February 2022). Adaptive Early Exit of Computation for Energy-Efficient and Low-Latency Machine Learning over IoT Networks. In: 19th Annual Consumer Communications & Networking Conference (CCNC 2022) (pp. 200-206). IEEE Xplore: IEEE 10.1109/CCNC49033.2022.9700550

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

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