Prediction of Mobile-App Network-Video-Traffic Aggregates using Multi-task Deep Learning. - Lorenzo Pappone; Francesco Cerasuolo; Valerio Persico; Domenico Ciuonzo; Antonio Pescapè; Flavio Esposito (IFIP Networking, 2022)

Routing with Graph Convolutional Networks and Multi-Agent Deep Reinforcement Learning. - Sai Shreyas Bhavanasi; Lorenzo Pappone; Flavio Esposito (NFV-SDN, 2022)

A Federated Learning Approach to Traffic Matrix Estimation using Super-resolution Techniques. - Roberto Amoroso; Lorenzo Pappone; Flavio Esposito (CCNC, 2023)

Dealing With Changes: Resilient Routing via Graph Neural Networks and Multi-Agent Deep Reinforcement Learning. - Sai Shreyas Bhavanasi; Lorenzo Pappone; Flavio Esposito (IEEE Trans. Netw. Serv. Manag., 2023)

Addressing Data Security in IoT: Minimum Sample Size and Denoising Diffusion Models for Improved Malware Detection. - Chiara Camerota; Lorenzo Pappone; Tommaso Pecorella; Flavio Esposito (CNSM, 2024)

ResCue: Inferring Fine-Grained Traffic Matrices via Distributed Deep Residual Networks. - Lorenzo Pappone; Cristian Zilli; Alessio Sacco; Flavio Esposito (CNSM, 2024)

Mutant: Learning Congestion Control from Existing Protocols via Online Reinforcement Learning. - Lorenzo Pappone; Alessio Sacco; Flavio Esposito (NSDI, 2025)