denoslab/starfish-fl

Starfish-FL is an essential component of the STARFISH project. It focuses on federated learning and analysis for the Analysis Mandate function of STARFISH.

38
/ 100
Emerging

This framework helps biostatisticians, clinical researchers, and data scientists collaboratively build machine learning models without directly sharing sensitive datasets. It takes diverse data from multiple organizations, such as patient records or operational logs, and produces shared analytical models and insights. Anyone who needs to perform advanced statistical analysis or predict outcomes while preserving data privacy can use this.

Use this if you need to train machine learning models across distributed datasets in fields like healthcare, finance, or carbon-aware computing, where data privacy and security are paramount.

Not ideal if your data can be easily centralized for model training, as the overhead of a federated system might not be necessary.

biostatistics clinical-research healthcare-analytics privacy-preserving-ai carbon-footprint-prediction
No Package No Dependents
Maintenance 10 / 25
Adoption 9 / 25
Maturity 13 / 25
Community 6 / 25

How are scores calculated?

Stars

79

Forks

3

Language

Python

License

Apache-2.0

Last pushed

Mar 13, 2026

Commits (30d)

0

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