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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.

In this white paper, you will learn:

checkmark About vertically distributed data
checkmark Workflow of privacy-preserving data science
checkmark Deep-dive into privacy-preserving record linkage
checkmark Deep-dive into federated and privacy-preserving analytics

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Privacy-preserving Data Science on QSAR models

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