Ngā hua rapu - Ardagna, Danilo

POPNASv3: a Pareto-Optimal Neural Architecture Search Solution for Image and Time Series Classification mā Falanti, Andrea, Lomurno, Eugenio, Ardagna, Danilo, Matteucci, Matteo

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Decentralized Edge Caching under Budget and Storage Constraints: A Game-Theoretic Approach mā Sedghani, Hamta, Seyedi, Zahra, Passacantando, Mauro, Ardagna, Danilo

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POPNASv2: An Efficient Multi-Objective Neural Architecture Search Technique mā Falanti, Andrea, Lomurno, Eugenio, Samele, Stefano, Ardagna, Danilo, Matteucci, Matteo

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Efficient Parameter Tuning for a Structure-Based Virtual Screening HPC Application mā Guindani, Bruno, Gadioli, Davide, Rocco, Roberto, Ardagna, Danilo, Palermo, Gianluca

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Federated Reinforcement Learning for Runtime Optimization of AI Applications in Smart Eyewears mā Sedghani, Hamta, Kambale, Abednego Wamuhindo, Filippini, Federica, Palermo, Francesca, Trojaniello, Diana, Ardagna, Danilo

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A Lightweight Neural Architecture Search Model for Medical Image Classification mā Xie, Lunchen, Lomurno, Eugenio, Gambella, Matteo, Ardagna, Danilo, Roveri, Manuel, Matteucci, Matteo, Shi, Qingjiang

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ZO-DARTS++: An Efficient and Size-Variable Zeroth-Order Neural Architecture Search Algorithm mā Xie, Lunchen, Lomurno, Eugenio, Gambella, Matteo, Ardagna, Danilo, Roveri, Manual, Matteucci, Matteo, Shi, Qingjiang

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Harnessing the Computing Continuum across Personalized Healthcare, Maintenance and Inspection, and Farming 4.0 mā Baghdadi, Fatemeh, Cirillo, Davide, Lezzi, Daniele, Lordan, Francesc, Vazquez, Fernando, Lomurno, Eugenio, Archetti, Alberto, Ardagna, Danilo, Matteucci, Matteo

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OSCAR-P and aMLLibrary: Profiling and Predicting the Performance of FaaS-based Applications in Computing Continua mā Sala, Roberto, Guindani, Bruno, Galimberti, Enrico, Filippini, Federica, Sedghani, Hamta, Ardagna, Danilo, Risco, Sebastián, Moltó, Germán, Caballer, Miguel

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ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS mā Filippini, Federica, Ardagna, Danilo, Lattuada, Marco, Amaldi, Edoardo, Ciavotta, Michele, Riedl, Maciek, Materka, Katarzyna, Skrzypek, Paweł, Magugliani, Fabrizio, Cicala, Marco

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Machine Learning for Performance Prediction of Spark Cloud Applications mā Maros, Alexandre, Murai, Fabricio, da Silva, Ana Paula Couto, Almeida, Jussara M., Lattuada, Marco, Gianniti, Eugenio, Hosseini, Marjan, Ardagna, Danilo

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Tunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach mā Palermo, Gianluca, Accordi, Gianmarco, Gadioli, Davide, Vitali, Emanuele, Silvano, Cristina, Guindani, Bruno, Ardagna, Danilo, Beccari, Andrea R., Bonanni, Domenico, Talarico, Carmine, Lunghini, Filippo, Martinovic, Jan, Silva, Paulo, Bohm, Ada, Beranek, Jakub, Krenek, Jan, Jansik, Branislav, Crisci, Luigi, Biagio, Cosenza, Thoman, Peter, Salzmann, Philip, Fahringer, Thomas, Alexander, Leila, Tauriello, Gerardo, Schwede, Torsten, Durairaj, Janani, Emerson, Andrew, Ficarelli, Federico, Wingbermuhle, Sebastian, Lindahl, Eric, Gregori, Daniele, Sana, Emanuele, Coletti, Silvano, Gschwandtner, Philip

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