Welcome

This is the online guideline for the Privacy-preserving Distributed Algorithms (PDA) framework, describing how end-users conduct a federated learning analysis with distributed multi-center data.

Useful links:

PDA website: https://pdamethods.org/
pda R package: https://github.com/Penncil/pda
PDA-OTA data-transfer platform: https://pda-ota.pdamethods.org/

Use the sidebar to navigate between chapters. The online version always reflects the latest content.