Secretflow

Latest version: v1.10.0b1

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1.5.0.dev240312

Added

- SL: grad_average is supported on GPU.
- SL: mix_up defence can be called through callback.
- Simulation: add some unpartitioned datasets.

Fixed

- Fix order in componet load table.

Changed

- Serving: Update serving linkfunc type.
- FL: rename get/set_gradients methods
- SGX: improve doc for the accuracy analysis.
- SL: import fia attack.

1.5.0.dev240304

Added

- Add gradient_average callback in SL.

Fixed

- Fix tuner default resource allocate.

Changed

- Boost the speed of autoattack benchmark.
- Upgrade to Python 3.10.

1.5.0.dev240227

Added

- Component: Suppport Early Stop in SGB via XGBoost Callbacks.
- Component: Add storage interface and oss/s3 storage impl.
- FLModel: Add new sample methods for datasets.
- Device Support cheetah h2a.
- Tuner optimizes resource allocation logic.
- Docs: Add SecretFlow Benchmark Results.
- Docs: Add more docs for SS-GLM.

Changed

- Use ray instead of secretflow-ray and bump to ray-2.9.

1.4.0.dev240205

Added

- Add Criteo(100M) Dataset.
- Add split learning nn component.
- Add sgb & ss_xgb model export.
- Split learning support prediction for file input.
- GPU support for split learning attack algorithm.

Changed

- Unify nn Callback naming.

1.4.0.dev240129

Added

- Split learning in PyTorch supports GPU in debug mode.
- Split learning in PyTorch supports pipeline strategy.
- Sparse compression supports the compression of multi-dimensional data, such as images.
- SLModel supports input in the form of file names and allows for multiple label inputs.

- Component: prediction operator results can now save feature columns.
- Component: binning operators can now view reports directly.
- Component: binning rule modification is supported.
- Component: support model exports, support both online and offline prediction.

Fixed

- fix: bump rayfed to 0.2.0a18 to fix shutdown lock.
- Component: improve GLM training accuracy.
- Component: reduce GLM training memory and computation cost.

1.4.0.dev240122

Added

- Add a new feature of chunked computation to control the memory peak.
- The binning component supports displaying binning rules.

Fixed

- Fix a bug that occurs when saving the SGB model fails when the number of trees in the model is 1.
- Fix bin rule report.

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