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- Tomás Feder
Stanford University, USA - Federico Tomassetti
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Publication search results
found 311 matches
- 2024
- Ivanoe De Falco, Antonio Della Cioppa, Tomas Koutny, Umberto Scafuri, Ernesto Tarantino:
Model-Free-Communication Federated Learning: Framework and application to Precision Medicine. Biomed. Signal Process. Control. 87(Part B): 105416 (2024) - Federico Brogi, Simone Bnà, G. Boga, Giorgio Amati, Tomaso Esposti Ongaro, Matteo Cerminara:
On floating point precision in computational fluid dynamics using OpenFOAM. Future Gener. Comput. Syst. 152: 1-16 (2024) - Saleh Baghersalimi, Tomás Teijeiro, Amir Aminifar, David Atienza:
Decentralized Federated Learning for Epileptic Seizures Detection in Low-Power Wearable Systems. IEEE Trans. Mob. Comput. 23(5): 6392-6407 (2024) - Zhenwen Dai, Federico Tomasi, Sina Ghiassian:
In-context Exploration-Exploitation for Reinforcement Learning. CoRR abs/2403.06826 (2024) - 2023
- Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Pedro Miguel Sánchez Sánchez, Sergio López Bernal, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán:
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges. IEEE Commun. Surv. Tutorials 25(4): 2983-3013 (2023) - Jan Bok, Richard C. Brewster, Tomás Feder, Pavol Hell, Nikola Jedlicková:
List homomorphism problems for signed trees. Discret. Math. 346(3): 113257 (2023) - Youcef Djenouri, Tomasz P. Michalak, Jerry Chun-Wei Lin:
Federated deep learning for smart city edge-based applications. Future Gener. Comput. Syst. 147: 350-359 (2023) - Arnau Folch, Claudia Abril, Michael Afanasiev, Giorgio Amati, Michael Bader, Rosa M. Badia, Hafize B. Bayraktar, Sara Barsotti, Roberto Basili, Fabrizio Bernardi, Christian Boehm, Beatriz Brizuela, Federico Brogi, Eduardo Cabrera, Emanuele Casarotti, Manuel J. Castro, Matteo Cerminara, Antonella Cirella, Alexey Cheptsov, Javier Conejero, Antonio Costa, Marc de la Asunción, Josep de la Puente, Marco Djuric, Ravil Dorozhinskii, Gabriela Espinosa, Tomaso Esposti Ongaro, Joan Farnós, Nathalie Favretto-Cristini, Andreas Fichtner, Alexandre Fournier, Alice-Agnes Gabriel, Jean-Matthieu Gallard, Steven J. Gibbons, Sylfest Glimsdal, José Manuel González-Vida, José Gracia, Rose Gregorio, Natalia Gutiérrez, Benedikt Halldorsson, Okba Hamitou, Guillaume Houzeaux, Stephan Jaure, Mouloud Kessar, Lukas Krenz, Lion Krischer, Soline Laforet, Piero Lanucara, Bo Li, Maria Concetta Lorenzino, Stefano Lorito, Finn Løvholt, Giovanni Macedonio, Jorge Macías Sánchez, Guillermo Marin, Beatriz Martínez Montesinos, Leonardo Mingari, Geneviève Moguilny, Vadim Montellier, Marisol Monterrubio Velasco, Georges-Emmanuel Moulard, Masaru Nagaso, Massimo Nazaria, Christoph Niethammer, Federica Pardini, Marta Pienkowska, Luca Pizzimenti, Natalia Poiata, Leonhard Rannabauer, Otilio Rojas, Juan Esteban Rodriguez, Fabrizio Romano, Oleksandr Rudyy, Vittorio Ruggiero, Philipp Samfass, Carlos Sánchez-Linares, Sabrina Sanchez, Laura Sandri, Antonio Scala, Nathanaël Schaeffer, Joseph Schuchart, Jacopo Selva, Amadine Sergeant, Angela Stallone, Matteo Taroni, Solvi Thrastarson, Manuel Titos, Nadia Tonelllo, Roberto Tonini, Thomas Ulrich, Jean-Pierre Vilotte, Malte Vöge, Manuela Volpe, Sara Aniko Wirp, Uwe Wössner:
The EU Center of Excellence for Exascale in Solid Earth (ChEESE): Implementation, results, and roadmap for the second phase. Future Gener. Comput. Syst. 146: 47-61 (2023) - Dylan Martin, Sunitha Basodi, Sandeep R. Panta, Kelly Rootes-Murdy, Paul Prae, Anand D. Sarwate, Ross Kelly, Javier Tomas Romero, Bradley T. Baker, Harshvardhan Gazula, Henry Jeremy Bockholt, Jessica A. Turner, Nathalia Bianchini Esper, Alexandre R. Franco, Sergey M. Plis, Vince D. Calhoun:
Enhancing collaborative neuroimaging research: introducing COINSTAC Vaults for federated analysis and reproducibility. Frontiers Neuroinformatics 17 (2023) - Jorge Tomás Fornerón Martínez, Federico Agostini, David L. La Red Martínez:
Resource and Process Management With a Decision Model Based on Fuzzy Logic. Int. J. Interact. Multim. Artif. Intell. 8(2): 134 (2023) - Harshvardhan Gazula, Kelly Rootes-Murdy, Bharath Holla, Sunitha Basodi, Zuo Zhang, Eric Verner, Ross Kelly, Pratima Murthy, Amit Chakrabarti, Debasish Basu, Subodh Bhagyalakshmi Nanjayya, Rajkumar Lenin Singh, Roshan Lourembam Singh, Kartik Kalyanram, Kamakshi Kartik, Kalyanaraman Kumaran, Krishnaveni Ghattu, Rebecca Kuriyan, Sunita Simon Kurpad, Gareth J. Barker, Rose Dawn Bharath, Sylvane Desrivières, Meera Purushottam, Dimitri Papadopoulos-Orfanos, Eesha Sharma, Matthew Hickman, Mireille Toledano, Nilakshi Vaidya, Tobias Banaschewski, Arun L. W. Bokde, Herta Flor, Antoine Grigis, Hugh Garavan, Penny A. Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère-Martinot, Eric Artiges, Frauke Nees, Tomás Paus, Luise Poustka, Juliane H. Fröhner, Lauren Robinson, Michael N. Smolka, Henrik Walter, Jeanne Winterer, Robert Whelan, Jessica A. Turner, Anand D. Sarwate, Sergey M. Plis, Vivek Benegal, Gunter Schumann, Vince D. Calhoun:
Federated Analysis in COINSTAC Reveals Functional Network Connectivity and Spectral Links to Smoking and Alcohol Consumption in Nearly 2,000 Adolescent Brains. Neuroinformatics 21(2): 287-301 (2023) - Renzo Angles, Angela Bonifati, Stefania Dumbrava, George Fletcher, Alastair Green, Jan Hidders, Bei Li, Leonid Libkin, Victor Marsault, Wim Martens, Filip Murlak, Stefan Plantikow, Ognjen Savkovic, Michael Schmidt, Juan Sequeda, Slawek Staworko, Dominik Tomaszuk, Hannes Voigt, Domagoj Vrgoc, Mingxi Wu, Dusan Zivkovic:
PG-Schema: Schemas for Property Graphs. Proc. ACM Manag. Data 1(2): 198:1-198:25 (2023) - Monica Laurenza, Dario Del Moro, Tommaso Alberti, Roberto Battiston, Simone Benella, F. Benvenuto, Francesco Berrilli, Igor Bertello, Bruna Bertucci, L. Biasiotti, Cristina Campi, Vincenzo Carbone, M. Casolino, C. Cecchi Pestellini, Federica Chiappetta, Igino Coco, S. Colombo, Giuseppe Consolini, Raffaella D'Amicis, Giancarlo De Gasperis, Rossana De Marco, Alfredo Del Corpo, Piero Diego, Valeria Di Felice, Luca Di Fino, C. Di Geronimo, F. Faldi, Fabiana Ferrente, C. Feruglio, E. Fiandrini, Fabrizio Fiore, Raffaello Foldes, Valerio Formato, G. Francisco, Fabio Giannattasio, Marco Giardino, P. Giobbi, Luca Giovannelli, M. Giusti, A. Gorgi, Balázs Heilig, Giulia Iafrate, S. L. Ivanovski, G. Jerse, M. B. Korsos, Fabio Lepreti, D. Locci, Carmelo Magnafico, V. Mangano, Maria Federica Marcucci, M. Martucci, Stefano Massetti, G. Micela, Anna Milillo, R. Miteva, M. Molinaro, R. Mugatwala, A. Mura, G. Napoletano, Livio Narici, Coralie Neubüser, G. Nisticò, M. Pauluzzi, Alessandro Perfetti, S. Perri, Antonino Petralia, Michael Pezzopane, Mirko Piersanti, Ermanno Pietropaolo, Alessio Pignalberi, C. Plainaki, Gianluca Polenta, Leonardo Primavera, Giulia Romoli, M. Rossi, Lucia Santarelli, G. Santi Amantini, Federico Siciliano, Giuseppe Sindoni, S. Spadoni, Roberta Sparvoli, M. Stumpo, Nicola Tomassetti, Roberta Tozzi, Valerio Vagelli, N. Vasantharaju, Antonio Vecchio, Massimo Vellante, S. Vernetto, Carlo Francesco Vigorito, Matthew J. West, Gaetano Zimbardo, P. Zucca, Francesca Zuccarello, Paolo Zuccon:
The CAESAR Project for the ASI Space Weather Infrastructure. Remote. Sens. 15(2): 346 (2023) - Ivanoe De Falco, Antonio Della Cioppa, Tomas Koutny, Martin Ubl, Michal Krcma, Umberto Scafuri, Ernesto Tarantino:
A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction. Sensors 23(6): 2957 (2023) - Danny Weyns, Radu Calinescu, Raffaela Mirandola, Kenji Tei, Maribel Acosta, Amel Bennaceur, Nicolas Boltz, Tomás Bures, Javier Cámara, Ada Diaconescu, Gregor Engels, Simos Gerasimou, Ilias Gerostathopoulos, Sinem Getir Yaman, Vincenzo Grassi, Sebastian Hahner, Emmanuel Letier, Marin Litoiu, Lina Marsso, Angelika Musil, Juergen Musil, Genaína Nunes Rodrigues, Diego Perez-Palacin, Federico Quin, Patrizia Scandurra, Antonio Vallecillo, Andrea Zisman:
Towards a Research Agenda for Understanding and ManagingUncertainty in Self-Adaptive Systems. ACM SIGSOFT Softw. Eng. Notes 48(4): 20-36 (2023) - Seongin Na, Tomás Roucek, Jirí Ulrich, Jan Pikman, Tomás Krajník, Barry Lennox, Farshad Arvin:
Federated Reinforcement Learning for Collective Navigation of Robotic Swarms. IEEE Trans. Cogn. Dev. Syst. 15(4): 2122-2131 (2023) - Tomás A. D'Amelio, Nicolás M. Bruno, Leandro A. Bugnon, Federico Zamberlan, Enzo Tagliazucchi:
Affective Computing as a Tool for Understanding Emotion Dynamics from Physiology: A Predictive Modeling Study of Arousal and Valence. ACIIW 2023: 1-7 - Tomas Petros, Henos Ghirmay, Safa Otoum, Reem Salem, Mérouane Debbah:
FLDetect: An API-Based Ransomware Detection Using Federated Learning. GLOBECOM 2023: 4449-4454 - Tuan Nguyen, Salima Mdhaffar, Natalia A. Tomashenko, Jean-François Bonastre, Yannick Estève:
Federated Learning for ASR Based on wav2vec 2.0. ICASSP 2023: 1-5 - Federica Arrigoni, Tomás Pajdla, Andrea Fusiello:
Viewing Graph Solvability in Practice. ICCV 2023: 8113-8121 - John Paul Q. Tomas, Roginald Glenn Dela Cruz, Uriel A. Federez, Daniel C. Samonte:
Enhancing CNN-based Face Mask Detection and Usage Classification using Capsule Networks. ICDIP 2023: 34:1-34:7 - Krystian Zielinski, Natalia Kowalczyk, Tomasz Kocejko, Magdalena Mazur-Milecka, Tomasz Neumann, Jacek Ruminski:
Federated Learning in Healthcare Industry: Mammography Case Study. ICIT 2023: 1-6 - Sunitha Basodi, Rajikha Raja, Harshvardhan Gazula, Javier Tomas Romero, Sandeep R. Panta, Vince D. Calhoun:
Federated Linear Mixed Effects Modeling for Voxel-Based Morphometry. ISBI 2023: 1-4 - Federico Tomasi, Joseph Cauteruccio, Surya Kanoria, Kamil Ciosek, Matteo Rinaldi, Zhenwen Dai:
Automatic Music Playlist Generation via Simulation-based Reinforcement Learning. KDD 2023: 4948-4957 - Mingyuan Zang, Changgang Zheng, Tomasz Koziak, Noa Zilberman, Lars Dittmann:
Federated Learning-Based In-Network Traffic Analysis on IoT Edge. IFIP Networking 2023: 1-6 - Sebastian Barzaghi, Federica Collina, Francesca Fabbri, Federica Giacomini, Alice Bordignon, Roberto Balzani, Gabriele Bitelli, Federica Bonifazi, Luca Cipriani, Simona Colitti, Marilena Daquino, Bruno Fanini, Filippo Fantini, Daniele Ferdani, Giulia Fiorini, Elena Formia, Anna Forte, Valentina Alena Girelli, Bianca Gualandi, Ivan Heibi, Alessandro Iannucci, Rachele Manganelli Del Fà, Arcangelo Massari, Arianna Moretti, Silvio Peroni, Sofia Pescarin, Giulia Renda, Diego Ronchi, Mattia Sullini, Maria Alessandra Tini, Francesca Tomasi, Laura Travaglini, Luca Vittuari:
Digitisation of Temporary Exhibitions: the Aldrovandi Case. GCH 2023: 181-183 - Alberto Rech, Matteo Pagin, Stefano Tomasin, Federico Moretto, Leonardo Badia, Marco Giordani, Jonathan Gambini, Michele Zorzi:
Downlink TDMA Scheduling for IRS-aided Communications with Block-Static Constraints. WCNC 2023: 1-6 - Mahdi Sellami, Tomas Bueno Momcilovic, Peter Kuhn, Dian Balta:
Interaction Patterns for Regulatory Compliance in Federated Learning. CIISR@Wirtschaftsinformatik 2023: 6-18 - Borja Bordel, Ramón Alcarria, Tomás Robles:
A Federated Algorithm for the Lightweight Generation of High-Entropy Keys in Distributed Computing Systems. WorldCIST (3) 2023: 82-93 - Alberto Rech, Matteo Pagin, Stefano Tomasin, Federico Moretto, Leonardo Badia, Marco Giordani, Jonathan Gambini, Michele Zorzi:
Downlink TDMA Scheduling for IRS-aided Communications with Block-Static Constraints. CoRR abs/2301.10738 (2023)
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