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Giuseppe Di Giacomo
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2020 – today
- 2025
- [c6]Francesco Malandrino, Giuseppe Di Giacomo, Marco Levorato, Carla-Fabiana Chiasserini:
Dependable Distributed Training of Compressed Machine Learning Models. WoWMoM 2025: 147-156 - 2024
- [j3]Francesco Malandrino, Giuseppe Di Giacomo, Armin Karamzade, Marco Levorato, Carla-Fabiana Chiasserini:
Tuning DNN Model Compression to Resource and Data Availability in Cooperative Training. IEEE/ACM Trans. Netw. 32(2): 1600-1615 (2024) - [i4]Francesco Malandrino, Giuseppe Di Giacomo, Marco Levorato, Carla-Fabiana Chiasserini:
Dependable Distributed Training of Compressed Machine Learning Models. CoRR abs/2402.14346 (2024) - 2023
- [j2]Francesco Malandrino, Carla-Fabiana Chiasserini, Giuseppe Di Giacomo:
Efficient Distributed DNNs in the Mobile-Edge-Cloud Continuum. IEEE/ACM Trans. Netw. 31(4): 1702-1716 (2023) - [c5]Giuseppe Di Giacomo, Giulio Franzese, Tania Cerquitelli, Carla-Fabiana Chiasserini, Pietro Michiardi:
Multi-View Latent Diffusion. IEEE Big Data 2023: 6152-6154 - [c4]Francesco Malandrino, Giuseppe Di Giacomo, Armin Karamzade, Marco Levorato, Carla-Fabiana Chiasserini:
Matching DNN Compression and Cooperative Training with Resources and Data Availability. INFOCOM 2023: 1-10 - [c3]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:
Designing Logic Tensor Networks for Visual Sudoku Puzzle Classification. NeSy 2023: 223-232 - 2022
- [j1]Vien Ngoc Dang, Francesco Galati, Rosa Cortese, Giuseppe Di Giacomo, Viola Marconetto, Prateek Mathur, Karim Lekadir, Marco Lorenzi, Ferran Prados, Maria A. Zuluaga:
Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentation. Medical Image Anal. 75: 102263 (2022) - [c2]Giuseppe Di Giacomo, Jérôme Härri, Carla-Fabiana Chiasserini:
Edge-assisted Gossiping Learning: Leveraging V2V Communications Between Connected Vehicles. ITSC 2022: 3920-3927 - [c1]Francesco Malandrino, Carla-Fabiana Chiasserini, Giuseppe Di Giacomo:
Energy-efficient Training of Distributed DNNs in the Mobile-edge-cloud Continuum. WONS 2022: 1-4 - [i3]Francesco Malandrino, Carla-Fabiana Chiasserini, Giuseppe Di Giacomo:
Energy-efficient Training of Distributed DNNs in the Mobile-edge-cloud Continuum. CoRR abs/2202.11349 (2022) - [i2]Francesco Malandrino, Giuseppe Di Giacomo, Armin Karamzade, Marco Levorato, Carla-Fabiana Chiasserini:
Matching DNN Compression and Cooperative Training with Resources and Data Availability. CoRR abs/2212.02304 (2022) - 2021
- [i1]Vien Ngoc Dang, Giuseppe Di Giacomo, Viola Marconetto, Prateek Mathur, Rosa Cortese, Marco Lorenzi, Ferran Prados, Maria A. Zuluaga:
Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation. CoRR abs/2101.09321 (2021)
Coauthor Index
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