top of page
Dtrip4H-blue.png

Funded by the European Union (DTRIP4H, No. 101188432). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the granting authority. Neither the European Union nor the granting authority can be held responsible for them. 

EN_FundedbytheEU_RGB_WHITE.png

@DTRIP4H CONSORTIUM

Copy of linkedin-icon_edited.png
Copy of x-icon_edited.png
Copy of youtube-icon_edited.png
Copy of linkedin-icon_edited.png
Copy of x-icon_edited.png
Copy of youtube-icon_edited.png

DTRIP4H Releases Video on Federated Learning

Learn how innovation and privacy can go hand in hand!

In this video, project partner Sergen Cansiz from Inria – National Institute for Research in Digital Science and Technology, explains how the DTRIP4H project applies state-of-the-art federated learning methods.

"Classical machine learning methods focus on centralizing data to perform training of AI models. However, federated learning aims to enable the training without centralizing the data."

Find the video here: https://www.dtrip4h.eu/videos
Or on our YouTube channel: https://www.youtube.com/@DTRIP4H

DTRIP4H project emerges as a momentous effort to revolutionise predictive, preventive, personalised, and participatory health paradigms. Funded by the European Union (DTRIP4H, GA No. 101188432).🤝 European Research Executive Agency (REA).

© 2025 TeraGlobus

Next
bottom of page