• Ballotta, L., Peserico, G., Zanini, F., & Dini, P. (2023). To Compute or Not to Compute? Adaptive Smart Sensing in Resource-Constrained Edge Computing. IEEE Transactions on Network Science and Engineering.
• Pereira, R., Mestre, X., & Gregoratti, D. (2024). Asymptotics of Distances Between Sample Covariance Matrices. IEEE Transactions on Signal Processing.
• Asensio-Garriga, R., Alemany, P., Zarca, A. M., Sedar, R., Kalalas, C., Ortiz, J., ... & Skarmeta, A. (2024). ZSM-based E2E Security Slice Management for DDoS Attack Protection in MEC-enabled V2X Environments. IEEE Open Journal of Vehicular Technology.
• Buratto, A., Guerra, E., Miozzo, M., Dini, P., & Badia, L. (2024, February). Energy Minimization for Participatory Federated Learning in IoT Analyzed via Game Theory. In 2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) (pp. 249-254). IEEE.
• Wilhelmi, F., Afraz, N., Guerra, E., & Dini, P. (2024). The implications of decentralization in blockchained federated learning: Evaluating the impact of model staleness and inconsistencies. Computer Networks, 110361.

• Lanza, C., Angelats, E., Miozzo, M., & Dini, P. (2023, March). Urban traffic forecasting using federated and continual learning. In 2023 6th Conference on Cloud and Internet of Things (CIoT) (pp. 1-8). IEEE.
• Sedar, R., Kalalas, C., Vázquez-Gallego, F., Alonso, L., & Alonso-Zarate, J. (2023). A comprehensive survey of v2x cybersecurity mechanisms and future research paths. IEEE Open Journal of the Communications Society, 4, 325-391.
• Aguilar-Rivera, A. (2023). The unscented genetic algorithm for fast solution of GA-hard optimization problems. Applied Soft Computing, 139, 110260.
• Martínez, F. S., Parada, R., & Casas-Roma, J. (2023). CO2 impact on convolutional network model training for autonomous driving through behavioral cloning. Advanced Engineering Informatics, 56, 101968.
• Villar Miguelez, C., Monzon Baeza, V., Parada, R., & Monzo, C. (2023). Guidelines for Renewal and Securitization of a Critical Infrastructure Based on IoT Networks. Smart Cities, 6(2), 728-743.
• Guerra, E., Wilhelmi, F., Miozzo, M., & Paolo, D. I. N. I. (2023). The cost of training machine learning models over distributed data sources. IEEE Open Journal of the Communications Society.
• Wilhelmi, F., Guerra, E., & Dini, P. (2023, June). On the decentralization of blockchain-enabled asynchronous federated learning. In 2023 IEEE 9th International Conference on Network Softwarization (NetSoft) (pp. 408-413). IEEE.
• Parada, R., Corvillo, R., & Dini, P. (2023, June). A DL-based estimation probability approach for VRU collision avoidance. In 2023 IEEE Conference on Artificial Intelligence (CAI) (pp. 23-25). IEEE.
• Parada, R., Monzon Baeza, V., Barraca-Ibort, D. N., & Monzo, C. (2023). LoRa-Based Low-Cost Nanosatellite for Emerging Communication Networks in Complex Scenarios. Aerospace, 10(9), 754.
• Perifanis, V., Pavlidis, N., Yilmaz, S. F., Wilhelmi, F., Guerra, E., Miozzo, M., ... & Koutsiamanis, R. A. (2023, September). Towards energy-aware federated traffic prediction for cellular networks. In 2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC) (pp. 93-100). IEEE.
• Carrillo, D., Kalalas, C., Raussi, P., Michalopoulos, D. S., Rodríguez, D. Z., Kokkoniemi-Tarkkanen, H., ... & Popovski, P. (2022). Boosting 5G on smart grid communication: A smart RAN slicing approach. IEEE Wireless Communications.
• Guerra, E., Miozzo, M., & Dini, P. (2023, November). Fully Decentralized Client Selection for Energy-Efficient Federated Learning. In 2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) (pp. 0595-0601). IEEE.

For rest of the publications please see CTTC SAI RU website.