Distributed Machine Learning

• DI GIACOMO, Giuseppe (2025)
  Resource-Aware and Resilient Learning in Mobile Networks. relatore: CHIASSERINI, Carla Fabiana; , 37. XXXVII Ciclo, P.: 160
  Doctoral Thesis
• DI GIACOMO, Giuseppe; Franzese, Giulio; Cerquitelli, Tania; Chiasserini, Carla Fabiana; ... (2024)
  DiMViS: Diffusion-based Multi-View Synthesis. In: ICML 2024 Workshop on Structured Probabilistic Inference & Generative Modeling 2nd SPIGM @ ICML, Vienna (Austria), 21-27 July 2024
  Contributo in Atti di Convegno (Proceeding)
• Malandrino, Francesco; Di Giacomo, Giuseppe; Karamzade, Armin; Levorato, Marco; ... (2024)
  Tuning DNN Model Compression to Resource and Data Availability in Cooperative Training. In: IEEE-ACM TRANSACTIONS ON NETWORKING, vol. 32, pp. 1600-1615. ISSN 1063-6692
  Contributo su Rivista
• DI GIACOMO, Giuseppe; Malandrino, Francesco; Chiasserini, Carla Fabiana (2024)
  Generosity Pays Off: A Game-Theoretic Study of Cooperation in Decentralized Learning. In: IEEE ICC 2024 Workshop - Edge5GMN, Denver (USA), 9-13 June 2024. ISBN: 979-8-3503-0405-3
  Contributo in Atti di Convegno (Proceeding)
• Di Giacomo, G.; Franzese, G.; Cerquitelli, T.; Chiasserini, C. F.; Michiardi, P. (2024)
  DiMViDA: Diffusion-based Multi-View Data Augmentation. In: 2024 IEEE 29th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Athens (Gre), 21-23 October 2024
  Contributo in Atti di Convegno (Proceeding)
• Malandrino, F.; Di Giacomo, G.; Levorato, M.; Chiasserini, C. F. (2024)
  Dependable Distributed Training of Compressed Machine Learning Models. In: IEEE WoWMoM 2024, Perth (Australia), 04-07 June 2024. ISBN: 979-8-3503-9466-5
  Contributo in Atti di Convegno (Proceeding)
• Morra, Lia; Azzari, Alberto; Bergamasco, Letizia; Braga, Marco; Capogrosso, Luigi; ... (2023)
  Designing Logic Tensor Networks for Visual Sudoku puzzle classification. In: 17th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2023), Certosa di Pontignano, Siena (Italia), July 3-5, 2023, pp. 223-232. ISSN 1613-0073
  Contributo in Atti di Convegno (Proceeding)
• Malandrino, F.; Di Giacomo, G.; Karamzade, A.; Levorato, M.; Chiasserini, C. F. (2023)
  Matching DNN Compression and Cooperative Training with Resources and Data Availability. In: IEEE INFOCOM 2023, New York City, NY, USA, 17-20 May, 2023. ISBN: 979-8-3503-3414-2
  Contributo in Atti di Convegno (Proceeding)
• Malandrino, Francesco; Chiasserini, Carla Fabiana; DI GIACOMO, Giuseppe (2023)
  Efficient Distributed DNNs in the Mobile-edge-cloud Continuum. In: IEEE-ACM TRANSACTIONS ON NETWORKING, vol. 31, pp. 1702-1716. ISSN 1063-6692
  Contributo su Rivista
• DI GIACOMO, Giuseppe; Franzese, Giulio; Cerquitelli, Tania; Chiasserini, Carla Fabiana; ... (2023)
  Multi-View Latent Diffusion. In: 2023 IEEE International Conference on Big Data, Sorrento (Italy), 15-18 December 2023. ISBN: 979-8-3503-2445-7
  Contributo in Atti di Convegno (Proceeding)
• Di Giacomo, G.; Haerri, Jerome; Chiasserini, Carla Fabiana (2022)
  Edge-assisted Gossiping Learning: Leveraging V2V Communications between Connected Vehicles. In: 25th IEEE Intelligent Transportation Systems Conference (ITSC 2022), Macau, China, 08-12 October 2022, pp. 3920-3927. ISBN: 978-1-6654-6880-0
  Contributo in Atti di Convegno (Proceeding)
• Malandrino, F.; Chiasserini, C. F.; Di Giacomo, G. (2022)
  Energy-efficient Training of Distributed DNNs in the Mobile-edge-cloud Continuum. In: WONS 2022, Online due to COVID-19, 30 March 2022 - 01 April 2022. ISBN: 978-3-903176-46-1
  Contributo in Atti di Convegno (Proceeding)
• Dang, V. N.; Galati, F.; Cortese, R.; Di Giacomo, G.; Marconetto, V.; Mathur, P.; ... (2022)
  Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentation. In: MEDICAL IMAGE ANALYSIS, vol. 75. ISSN 1361-8415
  Contributo su Rivista