Date: 30 March - 30 April 2026

Timezone: Brussels

Duration: 1 hour

Language of instruction: English

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This session will provide an accessible overview of federated learning, a key approach enabling collaborative data analysis while keeping sensitive data secure and locally controlled.

Federated learning is increasingly important in healthcare and biomedical research, as it allows institutions to work together without sharing raw data—supporting privacy-preserving and scalable collaboration.

Contact: Sotiroula Chatzimatthaiou, sotiroulac@cing.ac.cy

Keywords: Open Science, Training, Webinar, Data Management, Federated Analysis, Federated Learning

Venue: Microsoft Teams

City: Nicosia

Country: Cyprus

Prerequisites:

None

Learning objectives:

This webinar will explore:
🔹 The fundamentals of federated learning
🔹 How federated approaches differ from traditional data sharing
🔹 Applications in healthcare and research
🔹 Opportunities and challenges for implementation

Organizer: HemaFAIR EU project and HELIOS COST Action

Host institutions: CING, HemaFAIR, HELIOS COST Action

Target audience: Researchers, Data managers, Early career investigators

Event types:

  • Workshops and courses

Tech requirements:

Microsoft Teams

Cost basis: Free to all

Scientific topics: Open science, Data management


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