Secretflow

Latest version: v1.5.0b0

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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.

Fixed

- FL model progress bug.
- train_test_split typo.

0.6.4

- Fix PPU dtype mismatch caused by JAX 32bit mode.
- Vertical PearsonR.

0.6.3

- FlModel/SlModel support model path dict.

0.6.2

- Upgrade sf-ppu version to 0.0.7.1

0.6.1

- More perfect HEU
- Split learning benchmark model
- SFXgboost for homo xgboost training

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