This REU project explored federated learning on I.I, a communication efficient way of learning from de-centralized data that is believed to protect data privacy.
In this REU project, we focus on a machine learning paradigm called federated learning and its applications on medical data. Federated learning was proposed as a communication efficient way of learning from de-centralized data that is believed to protect data privacy [2]. We explored federated learning on I.I