Lorenzo Pappone

Orcid: 0000-0003-1894-3173

According to our database1, Lorenzo Pappone authored at least 7 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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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

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


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