Publications

Jakob Schaerer, Antonio Di Maio, Torsten Braun (2023). APS: An Auditable Positioning System Based on Angle-of-Arrival Proof of Location and Graph of Trust. 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops).
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Antonio Di Maio, Mina Aghaei Dinani, Gianluca Rizzo (2023). The Upsides of Turbulence: Baselining Gossip Learning in Dynamic Settings. Di Maio, Antonio; Aghaei Dinani, Mina; Rizzo, Gianluca (2023). The Upsides of Turbulence: Baselining Gossip Learning in Dynamic Settings (In Press). In: 24th International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc AIoT Workshop 2023). ACM 10.1145/3565287.3616530 textlesshttp://dx.doi.org/10.1145/3565287.3616530textgreater.
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Alisson Medeiros, Antonio Di Maio, Torsten Braun, Augusto Neto (2023). TENET: Adaptive Service Chain Orchestrator for MEC-enabled Low-latency 6DoF Virtual Reality. IEEE Transactions on Network and Service Management.
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Eric Samikwa, Jakob Schärer, Torsten Braun, Antonio Di Maio (2023). Machine Learning-based Energy Optimisation in Smart City Internet of Things. Samikwa, Eric; Schärer, Jakob; Braun, Torsten; Di Maio, Antonio (2023). Machine Learning-based Energy Optimisation in Smart City Internet of Things (In Press). In: 24th International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc AIoT Workshop 2023). ACM 10.1145/3565287.3616527 textlesshttp://dx.doi.org/10.1145/3565287.3616527textgreater.
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Negar Emami, Antonio Di Maio, Torsten Braun (2023). GTP-Force: Game-Theoretic Trajectory Prediction through Distributed Reinforcement Learning. Emami, Negar; Di Maio, Antonio; Braun, Torsten (2023). GTP-Force: Game-Theoretic Trajectory Prediction through Distributed Reinforcement Learning (In Press). In: The 20th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS 2023). IEEE Xplore: IEEE.
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Negar Emami, Antonio Di Maio, Torsten Braun (2023). FedForce: Network-adaptive Federated Learning for Reinforced Mobility Prediction. Emami, Negar; Di Maio, Antonio; Braun, Torsten (2023). FedForce: Network-adaptive Federated Learning for Reinforced Mobility Prediction (In Press). In: The 48th IEEE Conference on Local Computer Networks (LCN). IEEE Xplore: IEEE.
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Eric Samikwa, Antonio Di Maio, Torsten Braun (2023). DISNET: Distributed Micro-Split Deep Learning in Heterogeneous Dynamic IoT. IEEE internet of things journal.
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Jesutofunmi Ajayi, Antonio Di Maio, Torsten Braun, Dimitrios Xenakis (2023). An Online Multi-dimensional Knapsack Approach for Slice Admission Control. 2023 IEEE 20th Consumer Communications & Networking Conference (CCNC).
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Eric Samikwa, Antonio Di Maio, Torsten Braun (2022). ARES: Adaptive Resource-Aware Split Learning for Internet of Things. Computer Networks.
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Jakob Schaerer, Antonio Di Maio, Torsten Braun (2022). SecureAoX: A Location Verification System. 2022 14th IFIP Wireless and Mobile Networking Conference (WMNC).
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