Inspiration
What it does
How we built it
how we built using the concept of fed learning, explain what fed learning is
Challenges we ran into
how to simulate data from different hospitals given data was collected from a single hospital how to train useful and accurate AI models without sharing the data with/a cloud server
Accomplishments that we're proud of
-heterogemeity code
What we learned
what is currently established/works that exists
What's next for Untitled
Moving forward existing work by incorporating fairness constraints using personalized federated learning schemes
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