About

Welcome to my website, I am Riccardo Taiello!

I have a Bachelor’s Degree in Computer Science (obtained from Università degli Studi di Torino, Italy) and an MSc in Computer Science with honors (obtained from Sapienza Università di Roma, Italy).

Currently, I’m enrolled in Ph.D. at Inria Sophia Antipolis (Epione group) and EURECOM, supported by the French government, through the 3IA Côte d’Azur Investments.
My research interests are Machine Learning and Deep Learning, focusing on Federated Learning to enhance the privacy and reliability of the bio-medical distributed environment.

My Ph.D. project

I started my Ph.D., named Data Structuration and Security in Large-Scale Collaborative Healthcare Data Analysis , in October 2021 under the supervision of Marco Lorenzi (Inria Sophia Antipolis, Epione), Melek Önen (EURECOM Sophia Antipolis), and Professor Olivier Humbert (Antoine Lacassagne Center - TIRO laboratory).

News

[01-04-2023] Fed-BioMed v4.3 new release - Secure Aggregation!

Info: Fed-Biomed v4.3
Documentation: README
Tutorial: Jupyter Notebook

[19-09-2022] Paper accepted at MICCAI 2022!

Event: MICCAI 2022
Location: Singapore
Title: Privacy Preserving Image Registration
Video: Youtube
Material: Slides

[14-06-2022] Presentation in Parallel Session in Paris

Event: Franco-German Research and Innovation Network on AI
Location: Inria - Site de Paris
Title: Privacy Preserving Image Registration
Material: Slides

Publications

Privacy Preserving Image Registration

Authors: Riccardo Taiello, Melek Önen, Olivier Humbert, Marco Lorenzi
Conference: MICCAI2022
Paper: Link
Code: GitHub
Video: Youtube

Bibtex

@misc{https://doi.org/10.48550/arxiv.2205.10120,
  doi = {10.48550/ARXIV.2205.10120},
  url = {https://arxiv.org/abs/2205.10120},
  author = {Taiello, Riccardo and Önen, Melek and Humbert, Olivier and Lorenzi, Marco},
  title = {Privacy Preserving Image Registration},
  publisher = {arXiv},
  year = {2022},
  copyright = {arXiv.org perpetual, non-exclusive license}
}

Study on Transfer Learning Capabilities for Pneumonia Classification in Chest-X-Rays Image

Authors: Danilo Avola, Andrea Bacciu, Luigi Cinque, Alessio Fagioli, Marco Raoul Marini, Riccardo Taiello
Journal: Computer Methods and Programs in Biomedicine
Paper: Link
Code: GitHub

Bibtex

@article{avola2022study,
  title={Study on Transfer Learning Capabilities for Pneumonia Classification in Chest-X-Rays Images},
  author={Avola, Danilo and Bacciu, Andrea and Cinque, Luigi and Fagioli, Alessio and Marini, Marco Raoul and Taiello, Riccardo},
  journal={Computer Methods and Programs in Biomedicine},
  pages={106833},
  year={2022},
  publisher={Elsevier}
}

Articles

[05-12-2023] Security in Federated Learning and Fed-BioMed

Authors: Lucia Innocenti and Riccardo Taiello, Medium article

[05-10-2023] Federated Learning deployment: Fed-BioMed

Authors: Lucia Innocenti and Riccardo Taiello, Medium article

[14-09-2023] Federated Learning and Healthcare

Authors: Lucia Innocenti and Riccardo Taiello, Medium article