827d0e8edb
- Bump the Python requirement. - Fix type hints. - Use loky to avoid deadlock. - Workaround cupy-numpy compatibility issue on Windows caused by the `safe` casting rule. - Simplify the repartitioning logic to avoid dask errors.
Experimental Support of Federated XGBoost using NVFlare
This directory contains a demo of Federated Learning using NVFlare.
Horizontal Federated XGBoost
For horizontal federated learning using XGBoost (data is split row-wise), check out the horizontal directory
(see the README).
Vertical Federated XGBoost
For vertical federated learning using XGBoost (data is split column-wise), check out the vertical directory
(see the README).