federated-learning
Here are 6 public repositories matching this topic...
dsMTL client site functions
-
Updated
Apr 9, 2024 - R
-
Updated
May 1, 2021 - R
We propose dsDid, a federated learning package implemented in DataSHIELD with a federated version of the DID approach of Callaway and Sant'Anna (2022) at its core. It allows for the federated estimation of treatment effects per period and the corresponding federated uncertainty quantification.
-
Updated
Apr 27, 2023 - R
-
Updated
May 1, 2021 - R
This is an R package for feature alignment issues in vertical federated learning
-
Updated
Aug 1, 2023 - R
Improve this page
Add a description, image, and links to the federated-learning topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the federated-learning topic, visit your repo's landing page and select "manage topics."