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1.
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A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification
/ Barbieri, Luca (Milan, Polytech.) ; Savazzi, Stefano ; Kianoush, Sanaz ; Nicoli, Monica (Milan, Polytech.) ; Serio, Luigi (CERN)
Federated Learning (FL) methods adopt efficient communication technologies to distribute machine learning tasks across edge devices, reducing the overhead in terms of data storage and computational complexity compared to centralized solutions. Rather than moving large data volumes from producers (sensors, machines) to energy-hungry data centers, raising environmental concerns due to resource demands, FL provides an alternative solution to mitigate the energy demands of several learning tasks while enabling new Artificial Intelligence of Things (AIoT) applications. [...]
arXiv:2310.08087.-
2023-11-06 - 6 p.
- Published in : 10.1109/CAMAD59638.2023.10478391
Fulltext: PDF;
In : IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD 2023), Edinburgh, Scotland, 6-8 Nov 2023, pp.213-218
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2.
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A Secure and Trustworthy Network Architecture for Federated Learning Healthcare Applications
/ Boiano, Antonio (Milan, Polytech.) ; Di Gennaro, Marco (Milan, Polytech.) ; Barbieri, Luca (Milan, Polytech.) ; Carminati, Michele (Milan, Polytech.) ; Nicoli, Monica (Milan, Polytech.) ; Redondi, Alessandro (Milan, Polytech.) ; Savazzi, Stefano (IFN, Rome) ; Aillet, Albert Sund (CERN) ; Santos, Diogo Reis (CERN) ; Serio, Luigi (CERN)
Federated Learning (FL) has emerged as a promising approach for privacy-preserving machine learning, particularly in sensitive domains such as healthcare. [...]
arXiv:2404.11698.
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6 p.
Fulltext
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Explorative Studies of an Innovative Superconducting Gantry
/ Pullia, M G (CNAO, Milan) ; Donetti, M (CNAO, Milan) ; Felcini, E (CNAO, Milan) ; Frisella, G (CNAO, Milan) ; Mereghetti, A (CNAO, Milan) ; Mirandola, A (CNAO, Milan) ; Pella, A (CNAO, Milan) ; Savazzi, S (CNAO, Milan) ; Dassa, L (CERN) ; Karppinen, M (CERN) et al.
The Heavy Ion Therapy Research Integration plus (HITRIplus) is a European project that aims to integrate and propel research and technologies related to cancer treatment with heavy ions beams. Among the ambitious goals of the project, a specific work package includes the design of a gantry for carbon ions, based on superconducting magnets. [...]
2022 - 4 p.
- Published in : JACoW IPAC 2022 (2022) 2966-2969
Fulltext: PDF;
In : 13th International Particle Accelerator Conference (IPAC 2022), Bangkok, Thailand, 12 - 17 Jun 2022, pp.2966-2969
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4.
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Decentralized Federated Learning for Healthcare Networks: A Case Study on Tumor Segmentation
/ Camajori Tedeschini, Bernardo (Milan, Polytech.) ; Savazzi, Stefano (ISTP, Milan) ; Stoklasa, Roman (CERN) ; Barbieri, Luca (Milan, Polytech.) ; Stathopoulos, Ioannis (CERN) ; Nicoli, Monica (Milan, Polytech.) ; Serio, Luigi (CERN)
Smart healthcare relies on artificial intelligence (AI) functions for learning and analysis of patient data. Since large and diverse datasets for training of Machine Learning (ML) models can rarely be found in individual medical centers, classical centralized AI requires moving privacy-sensitive data from medical institutions to data centers that process the fused information. [...]
2022 - 16 p.
- Published in : IEEE Access 10 (2022) 8693-8708
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Measurement of $^{12}$C Fragmentation Cross Sections on C, O, and H in the Energy Range of Interest for Particle Therapy Applications
/ Mattei, I ; Alexandrov, A ; Alunni Solestizi, L ; Ambrosi, G ; Argiro, S ; Bartosik, N ; Battistoni, G ; Belcari, N ; Biondi, S ; Bisogni, M G et al.
In a carbon ion treatment the nuclear fragmentation of both target and beam projectiles impacts on the dose released on the tumor and on the surrounding healthy tissues. Carbon ion fragmentation occurring inside the patient body has to be studied in order to take into account this contribution. [...]
2020 - 14 p.
- Published in : IEEE Trans. Rad. Plasma Med. Sci. 4 (2020) 269-282
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6.
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Ion charge separation with new generation of nuclear emulsion films
/ Montesi, M.C. (Naples U. ; INFN, Naples) ; Lauria, A. (Naples U. ; INFN, Naples) ; Alexandrov, A. (INFN, Naples ; Naples U. ; Natl. U. Sci. Tech., Moscow ; Lebedev Inst.) ; Solestizi, L. Alunni (INFN, Perugia ; Perugia U.) ; Giovanni, Ambrosi (INFN, Perugia) ; Argirò, S. (Turin U. ; INFN, Turin) ; Diaz, R. (Havana, CEADEN) ; Bartosik, N. (INFN, Turin) ; Battistoni, G. (INFN, Milan) ; Belcari, N. (Pisa U. ; INFN, Pisa) et al.
In hadron therapy, the accelerated ions, interacting with the body of the patient, cause the fragmentation of both projectile and target nuclei. The fragments interact with the human tissues depositing energy both in the entrance channel and in the volume surrounding the tumor. [...]
2019 - 8 p.
- Published in : Open Physics 17 (2019) 233-240
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7.
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The FOOT FragmentatiOn Of Target Experiment
/ Alexandrov, Andrey (INFN, Naples) ; Alpat, Behcet (INFN, Perugia) ; Ambrosi, Giovanni (INFN, Perugia) ; Argirò, Stefano (Turin U. ; INFN, Turin) ; Battistoni, Giuseppe (INFN, Milan) ; Bisogni, Maria Giuseppina (Pisa U. ; INFN, Pisa) ; Belcari, Nicola (Pisa U. ; INFN, Pisa) ; Biondi, Silvia (INFN, Bologna ; Bologna U.) ; Bruni, Graziano (INFN, Bologna) ; Camarlinghi, Niccolò (Pisa U. ; INFN, Pisa) et al.
In proton-therapy clinical practice a constant RBE equal to 1.1 is adopted, regardless of the demonstrated RBE variations, which depends on physical and biological parameters. Among other mechanisms, nuclear interactions might influence the proton-RBE due to secondary heavier particles produced by target fragmentation that can significantly contribute to the total dose: an un-wanted and undetermined increase of normal tissues complications probability may occur. [...]
Geneva : CERN, 2019 - 8 p.
- Published in : CERN Proc.: 1 (2019) , pp. 305-312
Fulltext: PDF;
In : 15th International Conference on Nuclear Reaction Mechanisms, Varenna, Italy, 11 - 15 Jun 2018, pp.305-312
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