Lorenzo Pappone
Orcid: 0000-0003-1894-3173
According to our database1,
Lorenzo Pappone
authored at least 8 papers
between 2022 and 2025.
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Bibliography
2025
Mutant: Learning Congestion Control from Existing Protocols via Online Reinforcement Learning.
Proceedings of the 22nd USENIX Symposium on Networked Systems Design and Implementation, 2025
Proceedings of the IEEE International Conference on Communications, 2025
2024
ResCue: Inferring Fine-Grained Traffic Matrices via Distributed Deep Residual Networks.
Proceedings of the 20th International Conference on Network and Service Management, 2024
Addressing Data Security in IoT: Minimum Sample Size and Denoising Diffusion Models for Improved Malware Detection.
Proceedings of the 20th International Conference on Network and Service Management, 2024
2023
Dealing With Changes: Resilient Routing via Graph Neural Networks and Multi-Agent Deep Reinforcement Learning.
IEEE Trans. Netw. Serv. Manag., September, 2023
A Federated Learning Approach to Traffic Matrix Estimation using Super-resolution Techniques.
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023
2022
Routing with Graph Convolutional Networks and Multi-Agent Deep Reinforcement Learning.
Proceedings of the IEEE Conference on Network Function Virtualization and Software Defined Networks, 2022
Prediction of Mobile-App Network-Video-Traffic Aggregates using Multi-task Deep Learning.
Proceedings of the IFIP Networking Conference, 2022