In this white paper, you will learn...
Everything about vertically distributed data
Workflow of privacy-preserving data science
Deep-dive into privacy-preserving record linkage
Deep-dive into federated and privacy-preserving analytics
Federated Learning on Vertically Distributed Healthcare Data
Joining complementary data sets creates stronger machine learning capabilities. But valuable data containing intellectual property cannot be shared and must adhere to regulatory frameworks. Healthcare companies can use federated learning to work with decentralized data, allowing secure collaboration without sharing data.
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