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Lecture, Presentation, Training materials
HemaFAIR Lecture 13 - A gentle introduction to federated learning
This webinar from the HemaFAIR & HELIOS Lecture Series, “A Gentle Introduction to Federated Learning,” explores how federated learning enables collaborative research across institutions while preserving data privacy. The session introduces key concepts and highlights its potential for secure, data-driven innovation in healthcare.
Learn more about our events: hemafairproject.eu
DOI: https://doi.org/10.5281/zenodo.19346790
Licence: Creative Commons Attribution 4.0 International
Contact: Dr Sotiroula Chatzimatthaiou at [email protected]
Keywords: FAIR principles, HemaFAIR, HELIOS, Federated Learning, Healthcare
Target audience: Researchers, Data Scientist, Data stewards, Data managers, Students, Clinicians
Resource type: Lecture, Presentation, Training materials
Version: 1
Status: Active
Prerequisites:
No prerequisites. This material is intended as a first introduction to the Biomedical Ontologies
Learning objectives:
-Understand the basic principles of federated learning
-Explain how federated learning enables collaborative analysis without sharing sensitive data
-Identify the advantages and challenges of federated learning in biomedical research
-Recognize potential applications of federated learning in healthcare and rare diseases
-Describe how federated approaches support data privacy, security, and regulatory compliance
Date created: 2026-03-30
Date published: 2026-03-31
Contributors: Petros Kountouris, Sotiroula Chatzimatthaiou
Scientific topics: Machine learning, Data protection, Data mining
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