Market
What will be the primary source of data used in FLUID framework experiments by 2025?
2
Resolution / Starting Odds
Real Biomedical Data • 25%
Synthetic Data • 25%
Combination of Both • 25%
Other • 25%
Reports from NASA or research papers detailing data sources
Story
FLUID Framework Enables Federated Learning for Biomedical AI Between Earth and ISS Using Real and Synthetic Data
Jan 19, 2025, 05:51 PM
A new framework named FLUID (Federated Learning Using In-space Data) has been developed to enable federated learning for training biomedical machine learning models in a spaceflight context. This foundational architecture facilitates the training and updating of classifier models between Earth and the International Space Station (ISS) using both real biomedical research data and synthetically generated data. The initiative represents a significant advancement in the application of AI technologies in space, allowing for decentralized data training without the need for centralized data storage.
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