TALPINI JACOPO

(2025). Uncertainty Quantification and Distributed Models to Enhance ML-based Network Security. (Tesi di dottorato, , 2025). Dettaglio

Talpini, J., Savi, M., Neglia, G. (2025). FedBEns: One-Shot Federated Learning based on Bayesian Ensemble. In 42nd International Conference on Machine Learning, ICML 2025 (pp.58448-58466). ML Research Press. Dettaglio

Talpini, J., Gennaro, M., Carminati, M., Savi, M., Malandrino, F. (2025). SHIELDED: A Network-Aware Approach for Secure and Trustworthy Federated Learning. IEEE NETWORK, 1-7 [10.1109/MNET.2025.3622755]. Dettaglio

Sartori, F., Savi, M., Tarrini, G., Talpini, J. (2025). Towards a Knowledge Diversity Notion to Identify Intrusions in Industrial Contexts. In 2024 32nd International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE) (pp.92-97). IEEE Computer Society [10.1109/wetice64632.2024.00025]. Dettaglio

Talpini, J., Sartori, F., Savi, M. (2024). Enhancing trustworthiness in ML-based network intrusion detection with uncertainty quantification. JOURNAL OF RELIABLE INTELLIGENT ENVIRONMENTS, 10(4), 501-520 [10.1007/s40860-024-00238-8]. Dettaglio