Quorum: specify quorum percentage and maximum timeout in the aggregator config file to provide flexibility to parties that have potential connectivity failure.
Rejoin: dropped parties can rejoin training process.
GPU support: Enabling training with GPU(s) for KerasFLModel (you can check our new tutorial).
Bug fixes
Fix possible feature dimension mismatch for Sklearn multi-class classification models training on Non-iid party distribution.
Fix save/load inconsistency caused by pickle and joblib for Sklearn models.
Changes
1.15.00.23.1.New functionality
KerasFLModel(you can check our new tutorial).Bug fixes
pickleandjoblibfor Sklearn models.