kiroi.org

AIROI - Artificial Intelligence Return on Invest
The AI strategy for decision-makers and managers

Business excellence for decision-makers & managers by and with Sanjay Sauldie

AIROI - Artificial Intelligence Return on Invest: The AI strategy for decision-makers and managers

31 January 2025

Federated Learning (Glossary)

4.7
(698)

Federated learning is a term used in the fields of artificial intelligence, big data, smart data and cybersecurity. It is a special method by which many computers work together to train an artificial intelligence - without having to send their own data to a central location.

Imagine that many hospitals want to jointly develop an AI that recognises diseases on X-ray images. Instead of passing on all sensitive patient data to a centralised system, each data set remains in the respective hospital. The AI is trained on site and only what it has learnt - i.e. the improved calculation rules - is anonymised and merged into a joint model. In this way, everyone benefits from each other without anyone giving up their sensitive data.

Federated learning therefore protects private data and fulfils important data protection requirements, for example in accordance with the GDPR. This method is increasingly being used in areas such as healthcare, smartphones and connected cars. Companies can use it to work together on innovations - without disclosing their data.

How useful was this post?

Click on a star to rate it!

Average rating 4.7 / 5. Vote count: 698

No votes so far! Be the first to rate this post.

Share on the web now:

Other content worth reading:

Discover how federated learning combines AI and data protection. Find out more now and secure your data!

written by:

Keywords:

#3DPrint 1TP5InnovationThroughMindfulness #Cost savings #Supply chain #Value added

Follow me on my channels:

Questions on the topic? Contact us now without obligation

Contact us
=
Please enter the result as a number.

More articles worth reading

Leave a comment