- MixLR demo. - DP on split learning DNN. - XGBoost tutorial. - DataFrame and FedNdarray support astype method.
Changed
- Use lfs instead of http file. - FL model requires model define no more when using load_model. - dataframe.to_csv returns object ref.
Security
- Use more secure random. - Complete security and not-for-production warning.
0.6.6
Added
- SplitDNN dp. - Use lfs. - XGboost tutorial.
Fixed
- DataFrame.to_csv returns object refs for further wait.
0.6.5
Added
- Runtime_config as input to utils.testing.cluster_def. - SFXgboost optimization. - Horizontal preprocessing - StardardScaler - KBinsDiscretizater - Binning - Vertical preprocessing: WOE binning and substitution. - HEU supports int/fxp data type. - HEU Object supports slice and sum. - Differential privacy. - API docstrings. - Custom pytree node to ppu. - English docs.
Changed
- Remove default reveal in aggreagtor and compartor. - Bump dependencies - jax to 0.3.7 - sf-heu to 0.0.5 - sf-ppu to 0.0.10.4 - FL model: up early stop from step to epoch. - SecureAggregation uses powers of 2. - Rename vdf partitions_dimensions to partition_columns. - Use *args instead of args in aggregation for reducing ray task dependency.