  An Electronic Health Record (EHR) is an electronic database used by
healthcare providers to store patients' medical records which may include
diagnoses, treatments, costs, and other personal information. Machine learning
(ML) algorithms can be used to extract and analyze patient data to improve
patient care. Patient records contain highly sensitive information, such as
social security numbers (SSNs) and residential addresses, which introduces a
need to apply privacy-preserving techniques for these ML models using federated
learning and differential privacy.
