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Publication search results
found 20 matches
- 2024
- Bruno Casella, Roberto Esposito, Antonio Sciarappa, Carlo Cavazzoni, Marco Aldinucci:
Experimenting With Normalization Layers in Federated Learning on Non-IID Scenarios. IEEE Access 12: 47961-47971 (2024) - Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Bruno Casella, Marco Aldinucci, Simone Palazzo, Concetto Spampinato:
FedER: Federated Learning through Experience Replay and privacy-preserving data synthesis. Comput. Vis. Image Underst. 238: 103882 (2024) - Bruno Casella, Iacopo Colonnelli, Gianluca Mittone, Robert Birke, Walter Riviera, Antonio Sciarappa, Carlo Cavazzoni, Marco Aldinucci:
A Performance Analysis for Confidential Federated Learning. SP (Workshops) 2024: 40-47 - 2023
- Bruno Casella, Walter Riviera, Marco Aldinucci, Gloria Menegaz:
MERGE: A model for multi-input biomedical federated learning. Patterns 4(11): 100856 (2023) - Marica Franzini, Vittorio Marco Casella, Bruno Monti:
Assessment of Leica CityMapper-2 LiDAR Data within Milan's Digital Twin Project. Remote. Sens. 15(21): 5263 (2023) - Marica Franzini, Vittorio Casella, Bruno Monti:
The Digital Twin of the Metropolitan Area of Milan: Quality Assessment of Aerial and Terrestrial Data. ASITA 2023: 152-171 - Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, S. Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein:
Why is the Winner the Best? CVPR 2023: 19955-19966 - Bruno Casella, Lorenzo Paletto:
Predicting Cryptocurrencies Market Phases through On-Chain Data Long-Term Forecasting. ICBC 2023: 1-4 - Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Concetto Spampinato, Simone Palazzo, Bruno Casella, Marco Aldinucci:
Experience Replay as an Effective Strategy for Optimizing Decentralized Federated Learning. ICCV (Workshops) 2023: 3368-3375 - Bruno Casella, Samuele Fonio:
Architecture-Based FedAvg for Vertical Federated Learning. UCC 2023: 27 - Bruno Casella, Roberto Esposito, Antonio Sciarappa, Carlo Cavazzoni, Marco Aldinucci:
Experimenting with Normalization Layers in Federated Learning on non-IID scenarios. CoRR abs/2303.10630 (2023) - Bruno Casella, Roberto Esposito, Carlo Cavazzoni, Marco Aldinucci:
Benchmarking FedAvg and FedCurv for Image Classification Tasks. CoRR abs/2303.17942 (2023) - 2022
- Bruno Casella, Roberto Esposito, Carlo Cavazzoni, Marco Aldinucci:
Benchmarking FedAvg and FedCurv for Image Classification Tasks. itaDATA 2022: 99-110 - Bruno Casella, Alessio Barbaro Chisari, Sebastiano Battiato, Mario Valerio Giuffrida:
Transfer Learning via Test-time Neural Networks Aggregation. VISIGRAPP (5: VISAPP) 2022: 642-649 - Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Bruno Casella, Marco Aldinucci, Simone Palazzo, Concetto Spampinato:
Decentralized Distributed Learning with Privacy-Preserving Data Synthesis. CoRR abs/2206.10048 (2022) - Bruno Casella, Alessio Barbaro Chisari, Sebastiano Battiato, Mario Valerio Giuffrida:
Transfer Learning via Test-Time Neural Networks Aggregation. CoRR abs/2206.13399 (2022) - 2015
- Thomas Helfer, Bruno Michel, Jean-Michel Proix, Maxime Salvo, Jérôme Sercombe, Michel Casella:
Introducing the open-source mfront code generator: Application to mechanical behaviours and material knowledge management within the PLEIADES fuel element modelling platform. Comput. Math. Appl. 70(5): 994-1023 (2015) - 2014
- Jacques-Eric Bergez, Hélène Raynal, Marie Launay, Nicolas Beaudoin, Éric Casellas, J. Caubel, Patrick Chabrier, Elsa Coucheney, Jérôme Dury, Iñaki García de Cortázar-Atauri, Eric Justes, Bruno Mary, Dominique Ripoche, Françoise Ruget:
Evolution of the STICS crop model to tackle new environmental issues: New formalisms and integration in the modelling and simulation platform RECORD. Environ. Model. Softw. 62: 370-384 (2014) - 2013
- Stefano Peluchetti, Gareth O. Roberts, Bruno Casella:
The strong weak convergence of the quasi-EA. Queueing Syst. Theory Appl. 73(4): 447-460 (2013) - 2006
- Bruno Casella, Gareth O. Roberts:
Monte Carlo simulation of killed diffusions with a single barrier. VALUETOOLS 2006: 44
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