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Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2

AWS Machine Learning Blog

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.

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Meet the winners of Phase 1 of the PREPARE Challenge

DrivenData Labs

SEPTEMBER 10, 2024

The Mex-Cog 2016 and 2021 studies are an in-depth cognitive assessment applied to a subsample of age 55 and older from MHAS 2015 and MHAS 2018. Dr. Reid also teaches Data Science at the University of California at Berkeley. MHAS is a national sample of adults aged 50 and over in Mexico from a broad socioeconomic perspective.

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Data Science Current

Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2

Meet the winners of Phase 1 of the PREPARE Challenge

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