Bruno Casella

Ph.D. student in Modeling and Data Science, University of Turin
Parallel Computing group
Via Pessinetto 12, 10149 Torino – Italy 
Email: bruno.casella@unito.it

Short Bio

Bruno Casella is a PhD student in Modeling and Data Science at UniTO, financed by Leonardo Company.
He graduated in Computer Engineering in 2020 with a thesis on the performances of AlphaZero in different scenarios.
He also received the Master’s Degree in Data Science for management in 2021 with a thesis on Federated Transfer Learning.

Fields of interest

  • Federated Learning
  • Deep learning
  • Time Series
  • Computer Vision
  • Continual Learning
  • High Performance Computing

Publications

2024

Bruno Casella, Alessio Barbaro Chisari, Marco Aldinucci, Sebastiano Battiato, Mario Valerio Giuffrida

Federated Learning in a Semi-Supervised Environment for Earth Observation Data Proceedings Article

In: Proceedings of the 32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN, Bruges, Belgium, 2024.

Abstract | Links | BibTeX | Tags: ai, epi, icsc

Bruno Casella, Jakobs Matthias, Marco Aldinucci, Sebastian Buschjager

Federated Time Series Classification with ROCKET features Proceedings Article

In: Proceedings of the 32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN, Bruges, Belgium, 2024.

Abstract | Links | BibTeX | Tags: ai, epi, icsc

Bruno Casella, Iacopo Colonnelli, Gianluca Mittone, Robert Birke, Walter Riviera, Antonio Sciarappa, Carlo Cavazzoni, Marco Aldinucci

A Performance Analysis for Confidential Federated Learning Proceedings Article

In: Proceedings of the 2024 Deep Learning Security and Privacy Workshop, IEEE Symposium on Security and Privacy 2024, San Francisco, CA, 2024.

Abstract | Links | BibTeX | Tags: ai, confidential, epi, icsc

Oussama Harrak, Bruno Casella, Samuele Fonio, Piero Fariselli, Gianluca Mittone, Tiziana Sanavia, Marco Aldinucci

Federated AdaBoost for Survival Analysis Proceedings Article

In: Proceedings of the ECML-PKDD Workshop, 2nd workshop on advancements in Federated Learning, Vilnius, Lithuania, 2024.

Abstract | BibTeX | Tags: epi, icsc

Bruno Casella, Roberto Esposito, Antonio Sciarappa, Carlo Cavazzoni, Marco Aldinucci

Experimenting With Normalization Layers in Federated Learning on Non-IID Scenarios Journal Article

In: IEEE Access, vol. 12, pp. 47961-47971, 2024.

Links | BibTeX | Tags: epi, icsc

Bruno Casella, Walter Riviera, Marco Aldinucci, Gloria Menegaz

Protocol for training MERGE: A federated multi-input neural network for COVID-19 prognosis Journal Article

In: STAR Protocols, 2024, (https://prod-shared-star-protocols.s3.amazonaws.com/protocols/3225.pdf).

Abstract | Links | BibTeX | Tags: epi, icsc

2023

Bruno Casella, Roberto Esposito, Antonio Sciarappa, Carlo Cavazzoni, Marco Aldinucci

Experimenting with Normalization Layers in Federated Learning on non-IID scenarios Technical Report

Computer Science Department, University of Torino 2023.

Abstract | Links | BibTeX | Tags: confidential, epi, icsc

Bruno Casella, Lorenzo Paletto

Predicting Cryptocurrencies Market Phases through On-Chain Data Long-Term Forecasting Proceedings Article

In: Proceedings of the 2023 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), 1-5 May 2023, Dubai, 2023, (https://ieeexplore.ieee.org/document/10174989).

Abstract | Links | BibTeX | Tags: epi, icsc

Bruno Casella, Samuele Fonio

Architecture-Based FedAvg for Vertical Federated Learning Proceedings Article

In: Proceedings of the 3rd Workshop on Distributed Machine Learning for the Intelligent Computing Continuum (DML-ICC), IEEE/ACM UCC 2023, Taormina, Italy, 4 December 2023, 2023, (https://iris.unito.it/bitstream/2318/1949730/1/HALF_HVL_for_DML_ICC23___Taormina-2.pdf).

Abstract | Links | BibTeX | Tags: ai, epi, icsc

Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Bruno Casella, Marco Aldinucci, Simone Palazzo, Concetto Spampinato

Experience Replay as an Effective Strategy for Optimizing Decentralized Federated Learning Proceedings Article

In: Proceedings of the 1st Workshop on Visual Continual Learning, ICCV 2023, Paris, France, 2 October 2023, 2023, (https://ieeexplore.ieee.org/document/10350429).

Abstract | Links | BibTeX | Tags: ai

Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Bruno Casella, Marco Aldinucci, Simone Palazzo, Concetto Spampinato

FedER: Federated Learning through Experience Replay and Privacy-Preserving Data Synthesis Journal Article

In: Computer Vision and Image Understanding, vol. 238, pp. 103882, 2023.

Abstract | Links | BibTeX | Tags: ai

Bruno Casella, Walter Riviera, Marco Aldinucci, Gloria Menegaz

MERGE: A model for multi-input biomedical federated learning Journal Article

In: Patterns, pp. 100856, 2023, ISSN: 2666-3899.

Abstract | Links | BibTeX | Tags: ai, epi, icsc

Ovidio Filippo, Francesco Bruno, Tineke H. Pinxterhuis, Mariusz Gasior, Leor Perl, Luca Gaido, Domenico Tuttolomondo, Antonio Greco, Roberto Verardi, Gianluca Lo Martire, Mario Iannaccone, Attilio Leone, Gaetano Liccardo, Serena Caglioni, Rocio González Ferreiro, Giulio Rodinò, Giuseppe Musumeci, Giuseppe Patti, Irene Borzillo, Giuseppe Tarantini, Wojciech Wańha, Bruno Casella, Eline H Ploumen, Lukasz Pyka, Ran Kornowski, Andrea Gagnor, Raffaele Piccolo, Sergio Raposeiras Roubin, Davide Capodanno, Paolo Zocca, Federico Conrotto, Gaetano M De Ferrari, Clemens Birgelen, Fabrizio D'Ascenzo

Predictors of target lesion failure after treatment of left main, bifurcation, or chronic total occlusion lesions with ultrathin-strut drug-eluting coronary stents in the ULTRA registry Journal Article

In: Catheterization and Cardiovascular Interventions, 2023.

Abstract | Links | BibTeX | Tags: ai, cardio

Iacopo Colonnelli, Bruno Casella, Gianluca Mittone, Yasir Arfat, Barbara Cantalupo, Roberto Esposito, Alberto Riccardo Martinelli, Doriana Medić, Marco Aldinucci

Federated Learning meets HPC and cloud Proceedings Article

In: Bufano, Filomena, Riggi, Simone, Sciacca, Eva, Schillirò, Francesco (Ed.): Astrophysics and Space Science Proceedings, pp. 193–199, Springer, Catania, Italy, 2023, ISBN: 978-3-031-34167-0, (Keynote talk).

Abstract | Links | BibTeX | Tags: across, eupilot, streamflow

2022

Bruno Casella, Roberto Esposito, Carlo Cavazzoni, Marco Aldinucci

Benchmarking FedAvg and FedCurv for Image Classification Tasks Proceedings Article

In: Anisetti, Marco, Bonifati, Angela, Bena, Nicola, Ardagna, Claudio, Malerba, Donato (Ed.): Proceedings of the 1st Italian Conference on Big Data and Data Science, ITADATA 2022, September 20-21, 2022, CEUR-WS.org, 2022.

Abstract | Links | BibTeX | Tags: eupilot

Bruno Casella, Alessio Chisari, Sebastiano Battiato, Mario Giuffrida

Transfer Learning via Test-time Neural Networks Aggregation Proceedings Article

In: Farinella, Giovanni Maria, Radeva, Petia, Bouatouch, Kadi (Ed.): Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2022, Volume 5: VISAPP, Online Streaming, February 6-8, 2022, pp. 642–649, INSTICC SciTePress, 2022, ISBN: 978-989-758-555-5.

Abstract | Links | BibTeX | Tags: ai

Talks

2023

Bruno Casella, Samuele Fonio

Architecture-Based FedAvg for Vertical Federated Learning Miscellaneous

2023.

Abstract | Links | BibTeX | Tags: ai, epi, fl, icsc

2022

Bruno Casella

Benchmarking FedAvg and FedCurv for Image Classification Tasks Miscellaneous

ITADATA, 2022.

Abstract | Links | BibTeX | Tags: eupilot

Bruno Casella

Transfer Learning via Test-Time Neural Networks Aggregation Miscellaneous

VISAPP, 2022.

Abstract | Links | BibTeX | Tags:

Bruno Casella

Poster Session VISIGRAPP 2022 Miscellaneous

VISIGRAPP 2022, 2022, (Session chair).

BibTeX | Tags: