Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation. - Vien Ngoc Dang; Giuseppe Di Giacomo; Viola Marconetto; Prateek Mathur; Rosa Cortese; Marco Lorenzi; Ferran Prados; Maria A. Zuluaga (CoRR, 2021)

Edge-assisted Gossiping Learning: Leveraging V2V Communications Between Connected Vehicles. - Giuseppe Di Giacomo; Jérôme Härri; Carla-Fabiana Chiasserini (ITSC, 2022)

Energy-efficient Training of Distributed DNNs in the Mobile-edge-cloud Continuum. - Francesco Malandrino; Carla-Fabiana Chiasserini; Giuseppe Di Giacomo (WONS, 2022)

Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentation. - Vien Ngoc Dang; Francesco Galati; Rosa Cortese; Giuseppe Di Giacomo; Viola Marconetto; Prateek Mathur; Karim Lekadir; Marco Lorenzi; Ferran Prados; Maria A. Zuluaga (Medical Image Anal., 2022)

Multi-View Latent Diffusion. - Giuseppe Di Giacomo; Giulio Franzese; Tania Cerquitelli; Carla-Fabiana Chiasserini; Pietro Michiardi (IEEE Big Data, 2023)

Matching DNN Compression and Cooperative Training with Resources and Data Availability. - Francesco Malandrino; Giuseppe Di Giacomo; Armin Karamzade; Marco Levorato; Carla-Fabiana Chiasserini (INFOCOM, 2023)

Designing Logic Tensor Networks for Visual Sudoku Puzzle Classification. - Lia Morra; Alberto Azzari; Letizia Bergamasco; Marco Braga; Luigi Capogrosso; Federico Delrio; Giuseppe Di Giacomo; Simone Eiraudo; Giorgia Ghione; Rocco Giudice; Alkis Koudounas; Luca Piano; et al. (NeSy, 2023)

Efficient Distributed DNNs in the Mobile-Edge-Cloud Continuum. - Francesco Malandrino; Carla-Fabiana Chiasserini; Giuseppe Di Giacomo (IEEE/ACM Trans. Netw., 2023)

DiMViDA: Diffusion-Based Multi-View Data Augmentation. - Giuseppe Di Giacomo; Giulio Franzese; Tania Cerquitelli; Carla-Fabiana Chiasserini; Pietro Michiardi (CAMAD, 2024)

Generosity Pays Off: A Game-Theoretic Study of Cooperation in Decentralized Learning. - Giuseppe Di Giacomo; Francesco Malandrino; Carla-Fabiana Chiasserini (ICC Workshops, 2024)

Tuning DNN Model Compression to Resource and Data Availability in Cooperative Training. - Francesco Malandrino; Giuseppe Di Giacomo; Armin Karamzade; Marco Levorato; Carla-Fabiana Chiasserini (IEEE/ACM Trans. Netw., 2024)

Dependable Distributed Training of Compressed Machine Learning Models. - Francesco Malandrino; Giuseppe Di Giacomo; Marco Levorato; Carla-Fabiana Chiasserini (WoWMoM, 2025)

Resource-Aware and Resilient Learning in Mobile Networks. - Giuseppe Di Giacomo (2025)