Lorenzo Pappone
Orcid: 0000-0003-1894-3173
According to our database1,
Lorenzo Pappone
authored at least 6 papers
between 2022 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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2023
2024
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Bibliography
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