Francesco Cremonesi

According to our database, Francesco Cremonesi authored at least 12 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare Applications.

Riccardo Taiello, Sergen Cansiz, Marc Vesin, Francesco Cremonesi, Lucia Innocenti, Melek Önen, Marco Lorenzi

CoRR, 2024

2023

The need for multimodal health data modeling: A practical approach for a federated-learning healthcare platform.

Francesco Cremonesi, Vincent Planat, Varvara Kalokyri, Haridimos Kondylakis, Tiziana Sanavia, Victor Miguel Mateos Resinas, Babita Singh, Silvia Uribe

J. Biomed. Informatics, May, 2023

Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation.

Lucia Innocenti, Michela Antonelli, Francesco Cremonesi, Kenaan Sarhan, Alejandro Granados, Vicky Goh, Sébastien Ourselin, Marco Lorenzi

CoRR, 2023

Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications.

Francesco Cremonesi, Marc Vesin, Sergen Cansiz, Yannick Bouillard, Irene Balelli, Lucia Innocenti, Santiago Silva, Samy-Safwan Ayed, Riccardo Taiello, Laetitia Kameni, Richard Vidal, Fanny Orlhac, Christophe Nioche, Nathan Lapel, Bastien Houis, Romain Modzelewski, Olivier Humbert, Melek Önen, Marco Lorenzi

CoRR, 2023

Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models.

Irene Balelli, Aude Sportisse, Francesco Cremonesi, Pierre-Alexandre Mattei, Marco Lorenzi

CoRR, 2023

2020

Polynomial Evaluation on Superscalar Architecture, Applied to the Elementary Function <i>e</i>^<i>x</i>.

Timothée Ewart, Francesco Cremonesi, Felix Schürmann, Fabien Delalondre

ACM Trans. Math. Softw., 2020

Understanding Computational Costs of Cellular-Level Brain Tissue Simulations Through Analytical Performance Models.

Francesco Cremonesi, Felix Schürmann

Neuroinformatics, 2020

Analytic performance modeling and analysis of detailed neuron simulations.

Francesco Cremonesi, Georg Hager, Gerhard Wellein, Felix Schürmann

Int. J. High Perform. Comput. Appl., 2020

2017

Neuromapp: A Mini-application Framework to Improve Neural Simulators.

Timothée Ewart, Judit Planas, Francesco Cremonesi, Kai Langen, Felix Schürmann, Fabien Delalondre

Proceedings of the High Performance Computing - 32nd International Conference, 2017

2015

Performance evaluation of the IBM POWER8 architecture to support computational neuroscientific application using morphologically detailed neurons.

Timothée Ewart, Stuart Yates, Francesco Cremonesi, Pramod S. Kumbhar, Felix Schürmann, Fabien Delalondre

Proceedings of the 6th International Workshop on Performance Modeling, 2015

Simulating Morphologically Detailed Neuronal Networks at Extreme Scale.

Aleksandr Ovcharenko, Pramod S. Kumbhar, Michael L. Hines, Francesco Cremonesi, Timothée Ewart, Stuart Yates, Felix Schürmann, Fabien Delalondre

Proceedings of the Parallel Computing: On the Road to Exascale, 2015

Semi-automatic three-dimensional vessel segmentation using a connected component localization of the Region-Scalable Fitting Energy.

Marco Fedele, Elena Faggiano, Luca Barbarotta, Francesco Cremonesi, Luca Formaggia, Simona Perotto

Proceedings of the 9th International Symposium on Image and Signal Processing and Analysis, 2015