Publications

Mina Aghaei Dinani, Antonio Di Maio, Gianluca Rizzo (2024). Gossip Learning in Edge-Retentive Time-Varying Random Graphs with Node Churn. 2024 IEEE Annual Congress on Artificial Intelligence of Things (AIoT).

Marco De Liso, Antonio Di Maio, Torsten Braun (2024). Throughput- and Cost-Aware Node Relocation for MANET Resiliency Under Jamming Attacks. The 22st Mediterranean Communication and Computer Networking Conference (MedComNet 2024).

Jesutofunmi Ajayi, Antonio Di Maio, Torsten Braun (2024). Drift-Aware Policy Selection for Slice Admission Control. IEEE/IFIP Network Operations and Management Symposium.

Alisson Medeiros, Antonio Di Maio, Torsten Braun, Augusto Neto (2024). TENET: Adaptive Service Chain Orchestrator for MEC-Enabled Low-Latency 6DoF Virtual Reality. IEEE Transactions on Network and Service Management.

Eric Samikwa, Antonio Di Maio, Torsten Braun (2024). DISNET: Distributed Micro-Split Deep Learning in Heterogeneous Dynamic IoT. IEEE Internet of Things Journal.

Eric Samikwa, Antonio Di Maio, Torsten Braun (2024). DFL: Dynamic Federated Split Learning in Heterogeneous IoT. IEEE Transactions on Machine Learning in Communications and Networking.

Zimu Xu, Antonio Di Maio, Eric Samikwa, Torsten Braun (2024). CSTAR-FL: Stochastic Client Selection for Tree All-Reduce Federated Learning. IEEE Transactions on Mobile Computing.

Lucas Pacheco, Torsten Braun, Denis Rosário, Antonio Di Maio, Eduardo Cerqueira (2024). A Distributed Aggregation Approach for Vehicular Federated Learning. IEEE Access.

Dimitris Xenakis, Eric Samikwa, Jesutofunmi Ajayi, Antonio Di Maio, Torsten Braun, Katja Schlegel (2023). Towards Personality Detection and Prediction using Smartphone Sensor Data. 2023 21st Mediterranean Communication and Computer Networking Conference (MedComNet).

Dimitris Xenakis, Antonio Di Maio, Torsten Braun (2023). ARLCL: Anchor-free Ranging-Likelihood-based Cooperative Localization. 2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM).