Home
Interesting shortcuts
EFFRA Members' Perspectives
News Dashboard
Projects
Projects
Results, demos etc.
Results, demos etc.
Structured Wiki
Search
FoF and Made in Europe Partnership
Demonstrators, pilots, prototypes
Exploitable result(s)
Significant innovations and lessons learned, training aspects
Report - Video - Presentation - Publication....?
Project clusters
Company perspectives
Manufacturing future products
Manufacturing performance characteristics
Technologies and enablers
ICT performance characteristics
Standards and standardisation
Contribution of R&I projects to standardisation
Regulatory and policy aspects
Standards - other classifications
Business model aspects
Pathways
MiE SRIA R&I Priorities
Public Consultation - MiE 25-27 Priorities (input is publicly available)
MiE KPIs
Relevant open calls
EU-Programme-Call
NACE code
EFFRA WG pointers
Pathways
Pathways
Project ideas
Project ideas
People & organisations
People
Organisations
portal@effra.eu
Visit the EFFRA website
Login
HORIZON-HLTH-2022-IND-13-02 Scaling up multi-party computation, data anonymisation techniques, and synthetic data generation
Associated lists
In list:
EU-Programme-Call
EU-Programme-Call
Horizon Europe
HORIZON.2 Global Challenges and European Industrial Competitiveness
HORIZON.2.1 Health
HORIZON.2.1.0 Cross-cutting call topics
HORIZON-HLTH-2022-IND-13
HORIZON-HLTH-2022-IND-13-02 Scaling up multi-party computation, data anonymisation techniques, and synthetic data generation
In list:
EU-Programme-Call
EU-Programme-Call
Horizon Europe
HORIZON.2 Global Challenges and European Industrial Competitiveness
HORIZON.2.1 Health
HORIZON.2.1.5 Tools, Technologies and Digital Solutions for Health and Care, including personalised medicine
HORIZON-HLTH-2022-IND-13
HORIZON-HLTH-2022-IND-13-02 Scaling up multi-party computation, data anonymisation techniques, and synthetic data generation