Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2
AWS Machine Learning
JANUARY 13, 2023
Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at a single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository. Reference. [1]
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