Giuseppe Di Giacomo

17 papers A* 1B 1C 2Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Achieving Machine Learning Dependability Through Model Switching and Compression.
IEEE Trans. Mob. Comput.
Francesco Malandrino, Giuseppe Di Giacomo, Marco Levorato, Carla-Fabiana Chiasserini
2025 C conf
Dependable Distributed Training of Compressed Machine Learning Models.
WoWMoM
Francesco Malandrino, Giuseppe Di Giacomo, Marco Levorato, Carla-Fabiana Chiasserini
2025 — —
Resource-Aware and Resilient Learning in Mobile Networks.
Giuseppe Di Giacomo
2024 J jnl
Dependable Distributed Training of Compressed Machine Learning Models.
CoRR
Francesco Malandrino, Giuseppe Di Giacomo, Marco Levorato, Carla-Fabiana Chiasserini
2024 — conf
DiMViDA: Diffusion-Based Multi-View Data Augmentation.
CAMAD
Giuseppe Di Giacomo, Giulio Franzese, Tania Cerquitelli, Carla-Fabiana Chiasserini, Pietro Michiardi
2024 — conf
Generosity Pays Off: A Game-Theoretic Study of Cooperation in Decentralized Learning.
ICC Workshops
Giuseppe Di Giacomo, Francesco Malandrino, Carla-Fabiana Chiasserini
2024 J jnl
Tuning DNN Model Compression to Resource and Data Availability in Cooperative Training.
IEEE/ACM Trans. Netw.
Francesco Malandrino, Giuseppe Di Giacomo, Armin Karamzade, Marco Levorato, Carla-Fabiana Chiasserini
2023 C conf
Designing Logic Tensor Networks for Visual Sudoku Puzzle Classification.
NeSy
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, Daniele Rege Cambrin, Matteo Risso, Marco Rondina, Alessandro Sebastian Russo, Marco Russo, Francesco Taioli, Lorenzo Vaiani, Chiara Vercellino
2023 J jnl
Efficient Distributed DNNs in the Mobile-Edge-Cloud Continuum.
IEEE/ACM Trans. Netw.
Francesco Malandrino, Carla-Fabiana Chiasserini, Giuseppe Di Giacomo
2023 A* conf
Matching DNN Compression and Cooperative Training with Resources and Data Availability.
INFOCOM
Francesco Malandrino, Giuseppe Di Giacomo, Armin Karamzade, Marco Levorato, Carla-Fabiana Chiasserini
2023 B conf
Multi-View Latent Diffusion.
IEEE Big Data
Giuseppe Di Giacomo, Giulio Franzese, Tania Cerquitelli, Carla-Fabiana Chiasserini, Pietro Michiardi
2022 — conf
Edge-assisted Gossiping Learning: Leveraging V2V Communications Between Connected Vehicles.
ITSC
Giuseppe Di Giacomo, Jérôme Härri, Carla-Fabiana Chiasserini
2022 — conf
Energy-efficient Training of Distributed DNNs in the Mobile-edge-cloud Continuum.
WONS
Francesco Malandrino, Carla-Fabiana Chiasserini, Giuseppe Di Giacomo
2022 J jnl
Energy-efficient Training of Distributed DNNs in the Mobile-edge-cloud Continuum.
CoRR
Francesco Malandrino, Carla-Fabiana Chiasserini, Giuseppe Di Giacomo
2022 J jnl
Matching DNN Compression and Cooperative Training with Resources and Data Availability.
CoRR
Francesco Malandrino, Giuseppe Di Giacomo, Armin Karamzade, Marco Levorato, Carla-Fabiana Chiasserini
2022 J jnl
Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentation.
Medical Image Anal.
Vien Ngoc Dang, Francesco Galati, Rosa Cortese, Giuseppe Di Giacomo, Viola Marconetto, Prateek Mathur, Karim Lekadir, Marco Lorenzi, Ferran Prados, Maria A. Zuluaga
2021 J jnl
Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation.
CoRR
Vien Ngoc Dang, Giuseppe Di Giacomo, Viola Marconetto, Prateek Mathur, Rosa Cortese, Marco Lorenzi, Ferran Prados, Maria A. Zuluaga