TEXTAROSSA: Towards EXtreme scale Technologies and Accelerators for euROhpc hw/Sw Supercomputing Applications for exascale. - Giovanni Agosta; Daniele Cattaneo 002; William Fornaciari; Andrea Galimberti; Giuseppe Massari; Federico Reghenzani; Federico Terraneo; Davide Zoni; Carlo Brandolese; Massimo Celino; Francesco Iannone; Paolo Palazzari; et al. (DSD, 2021)

Practical parallelization of scientific applications with OpenMP, OpenACC and MPI. - Marco Aldinucci; Valentina Cesare; Iacopo Colonnelli; Alberto Riccardo Martinelli; Gianluca Mittone; Barbara Cantalupo; Carlo Cavazzoni; Maurizio Drocco (J. Parallel Distributed Comput., 2021)

Towards EXtreme scale technologies and accelerators for euROhpc hw/Sw supercomputing applications for exascale: The TEXTAROSSA approach. - Giovanni Agosta; Marco Aldinucci; Carlos Álvarez 001; Roberto Ammendola; Yasir Arfat; Olivier Beaumont; Massimo Bernaschi; Andrea Biagioni; Tommaso Boccali; Bérenger Bramas; Carlo Brandolese; Barbara Cantalupo; et al. (Microprocess. Microsystems, 2022)

Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning. - Gianluca Mittone; Nicolò Tonci; Robert Birke; Iacopo Colonnelli; Doriana Medic; Andrea Bartolini; Roberto Esposito; Emanuele Parisi; Francesco Beneventi; Mirko Polato; Massimo Torquati; Luca Benini; et al. (CF, 2023)

Efficiently Distributed Federated Learning. - Gianluca Mittone; Robert Birke; Marco Aldinucci (Euro-Par Workshops, 2023)

Model-Agnostic Federated Learning. - Gianluca Mittone; Walter Riviera; Iacopo Colonnelli; Robert Birke; Marco Aldinucci (Euro-Par, 2023)

Pooling critical datasets with Federated Learning. - Yasir Arfat; Gianluca Mittone; Iacopo Colonnelli; Fabrizio D'Ascenzo; Roberto Esposito; Marco Aldinucci (PDP, 2023)

RISC-V-Based Platforms for HPC: Analyzing Non-functional Properties for Future HPC and Big-Data Clusters. - William Fornaciari; Federico Reghenzani; Federico Terraneo; Davide Baroffio; Cecilia Metra; Martin Omaña 001; Josie E. Rodriguez Condia; Matteo Sonza Reorda; Robert Birke; Iacopo Colonnelli; Gianluca Mittone; Marco Aldinucci; et al. (SAMOS, 2023)

Distributed Edge Inference: an Experimental Study on Multiview Detection. - Gianluca Mittone; Giulio Malenza; Marco Aldinucci; Robert Birke (UCC, 2023)

A Federated Learning Benchmark for Drug-Target Interaction. - Gianluca Mittone; Filip Svoboda; Marco Aldinucci; Nicholas D. Lane; Pietro Lió (WWW (Companion Volume), 2023)

A Federated Learning Benchmark for Drug-Target Interaction. - Filip Svoboda; Gianluca Mittone; Nicholas D. Lane; Pietro Liò (CoRR, 2023)

Experimenting with Emerging ARM and RISC-V Systems for Decentralised Machine Learning. - Gianluca Mittone; Nicolò Tonci; Robert Birke; Iacopo Colonnelli; Doriana Medic; Andrea Bartolini; Roberto Esposito; Emanuele Parisi; Francesco Beneventi; Mirko Polato; Massimo Torquati; Luca Benini; et al. (CoRR, 2023)

A Performance Analysis for Confidential Federated Learning. - Bruno Casella; Iacopo Colonnelli; Gianluca Mittone; Robert Birke; Walter Riviera; Antonio Sciarappa; Carlo Cavazzoni; Marco Aldinucci (SP (Workshops), 2024)

Workshop Scientific HPC in the pre-Exascale era (part of ITADATA 2024) Proceedings. - Nicola Bena; Claudia Diamantini; Michela Natilli; Luigi Romano; Giovanni Stilo; Valentina Pansanella; Claudio A. Ardagna; Anna Monreale; Roberto Trasarti; Valentina Cesare; Gianluca Mittone; Emanuele De Rubeis; et al. (CoRR, 2025)