SiloML is a federated data platform for life science researchers to answer questions about clinical data that’s physically on their partners’ databases.
This is the code for the SiloML webapp. In the webapp:
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Data owners (provider partners) can register their data sets. They run the dataowner server (
SiloML/silo-dataowner) and key in the provided OTP to the server locally to associate the server with their account.
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Researchers can then connect to these data sets on a per-project basis. When the datasets are connected, they run their researcher worker (
SiloML/silo-researcher) locally to begin the federated learning process.
You can visit the live version on app.siloml.us.
In the project directory, you can run:
Runs the app in the development mode.
Open http://localhost:3000 to view it in the browser.
The page will reload if you make edits.
You will also see any lint errors in the console.
Builds the production files in the build/ folder.
Set up firebase-tools and then deploy the build/ folder to the Firebase silo-ml project.