All notable changes to this project will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
Added
for new features.
Changed
for changes in existing functionality.
Deprecated
for soon-to-be removed features.
Removed
for now removed features.
Fixed
for any bug fixes.
Security
in case of vulnerabilities.
- Split learning add application of deepfm for recommendation scenarios.
- Split learning add pytorch support.
- Add IO tutorials for federated learning.
- Reorg DP strategies.
- SGB and XGB refactor. Add data checks. Improve qcut.
- Add the preview version of components.
- Bump spu to 0.3.3b2
- TEEU function serialization.
- Correct TEEU function serialization protocol and docs.
- Fix SPU compilation cache bug
- Bump spu to 0.3.3b2
- Add missing init files.
- TEE python Unit(TEEU) is introduced as the TEE cryptographic device and enables authorized computation with authorized data in TEE. TEEU brings more possibilities for hybrid computation.
- An experimental SecretFlow component design.
- SGB feature: add support for pre-pruning and model save & load.
- Use pytest instead of unittest.
- Bump spu to 0.3.3b0
- Bump heu to 0.4.3b2
- Fix hess lr auc err with large learning_rate.
- SecureBoost and its benchmark.
- Unbalanced PSI
- Two sub-protocols for generating cache and transmitting cache.
- Online with shuffling sub-protocol, supporting big data parties to obtain data.
- Semi-homomorphic encryption protocol - OU
- Bump spu to 0.3.2b12
- Fix psi_join_csv output columns error.
- Fix heu object decode.
- Bump spu to 0.3.2b11
- SCQL (Secure Collaborative Query Language).
- Bump spu to 0.3.2b9.
- Bump many dependencies for security fix.
- Bump RayFed to 0.1.1a.
- give min num_cpus for simulation.
- add init.py to sl tensorflow strategy folder.
- add party as resource label in simulation mode.
- add option whether exit on cross-silo sending.
- put all requires in one file except dev.
- Fix psi_join_csv output columns error.
- fix heu object decode.
- Bump:
- rayfed to 0.1.0b0.
- spu to 0.3.1b9.
- sf-heu to 0.3.2b1.
- add export_model api for SLModel
- add get_params api for preprocessing
- VDataFrame read_csv uses spu.psi_csv instead of spu.psi_df to reduce memory usage.
- Bump rayfed to 0.1.0a10.
- Control the concurrency of ray task in SLModel fit/predict/evaluate.
- psi join multi-key sort command parameters
- Optimize psi join memory usage.
- Bump rayfed to 0.1.0a9.
- SS GLM distribution type err.
- GLM.
- bump rayfed to 0.1.0a8.
- SSXgb for user_specified_num_returns=1.
- SLModel sets steps_per_epoch for worker.
- set num_cpu and resources only when start ray with local mode.
- Multi controller based on rayfed.
- Rewrite data builder.
- Bump to yacl.
- utils.testing.cluster_def supports NPC.
- FLModel save path.
- SSXgb col sub error.
- HomeXgb callback.
- Compress mask.
- spu.call fails when SPUCompilerNumReturnsPolicy is FROM_USER and user_specified_num_returns is 1.
- OneHotEncoder remove PYUObject property.
- Add sl_model metrics wrap to fix format error.
- Add Finetune and FedEval to SFXgboost
- Add SLModel support multi parties(>=2)
- FLModel support most metrics of regression and classification
- SLModel can be initialized without model.
- PSI doc typos.
- Fix the logic error bug of savemodel and loadmodel path in SLModel and FLModel
- Add score card.
- Add replace/mode function to DataFrame.
- Add round function to VDataFrame.
- Add psi_join_csv and psi_join_df.
- Add preprocessing.LogroundTransformer.
- Add args to preprocessing.OneHotEncoder.
- Bump dependencies
- secretflow-ray to 2.0.0.dev2
- Update psi_df doc.
- Optimize sl_model by tf_funciton.
- Add curve parameter for ecdh psi.
- Protect biclassification, psi and pva with pyu object.
- Modify XgbModel predict api.
- Raise exception if spu_fe.compile fails.
- Fix quantile security vulnerability.
- Fix woe bin bugs.
- Fix psi_join recv timeout.
- omp_num_threads param for secretflow init().
- Regression and biclassification evaluation.
- Xgboost evaluation.
- Horizontal fl supports default naive aggreagte for metrics.
- PVA calculation.
- Remove graph util NodeDataLoader.
- VDataFrame docstring.
- Remove dependencies
- dgl
- Get rid of import tensorflow/torch when import secretflow.
- Add license file
- Fix sl predict & remove reveal
- Fix typos in function docs.
- Bump dependencies
- TensorFlow to 2.10.0
- Jax to 0.3.17
- Jaxlib to 0.3.15
- Bump dependencies
- sf-heu to 0.2.0
- spu to 0.2.5
- Missing requirements in dev-requirements.txt.
- SPU config param: throttle_window_size
- PSI param: bucket_size
- SPU config param http_timeout_ms defaults to 120s.
- Bump dependencies
- sf-heu to 0.1.3.2
- Add pytorch backend for fl model for classification
- Add FL Dp strategy
- Update document
- Shrink docker image size
- Bump dependencies
- sf-heu to 0.1.3.1
- Use secretflow-ray instead of ray.
- Add steps_per_epoch parameter to callback function of SLBaseTFModel.
- Bump dependencies
- sf-heu to 0.1.2
- Remove example of mixlr as mixlr is in official code already.
- Fix psi docs.
- Pytorch backend and FL strategy.
- SS pvalue.
- Horizontal NN global DP with RDP accountant.
- HEU supports encrypt with audit log.
- HEU uses c++ numpy api.
- Update ant pypi address.
- Complete cluster model deployment doc.
- Use multiprocess.cpu_count instead of multiprocessing.cpu_count for compatibility with macOS.
- Fix sl gnn test.
- fix model handle_data parties_length by adding partition_shape to dataframe
- SS VIF.
- FL strategy: FedProx.
- Split GNN.
- Remove duplicated shape_spu_to_np & dtype_spu_to_np in spu.py.
- Development and release docker.
- FL model strategy.
- Sigmoid approximation in python.
- SS LR.
- Verical FL LR.
- Auto ray.get for nested params with pyu objects in proxy decoreted cls.
- Link desc in spu construction.
- Refactor datasets from oss instead of lfs.
- Many doc improvements.
- SecureAggregator
average
when weights are multi-dimensions.
- Vertical dp.
- Many docs improvements.
- Increase H2A mask bits
- Include c++ lib in setup.
- simulation.dataset for tutorial
- update tutorial of FL SL & SFXgboost
- add csv stream reader for FL
- fix sf.init argument.
- typos, grammatical errors, implicit in docs.
- Secretflow shutdown.
- LabelEncoder returns np.int dtype.
- FlModel supports csv loader.
- Rename PPU to SPU.
- MixLR demo.
- DP on split learning DNN.
- XGBoost tutorial.
- DataFrame and FedNdarray supports astype method.
- Use lfs instead of http file.
- FL model requires model define no more when using load_model.
- dataframe.to_csv returns object ref.
- Use more secure random.
- Complete security and not-for-production warning.
- SplitDNN dp.
- Use lfs.
- XGboost tutorial.
- DataFrame.to_csv returns object refs for further wait.
- 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.
- 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.
- FL model progress bug.
- train_test_split typo.
- Fix PPU dtype mismatch causing by JAX 32bit mode.
- Vertical PearsonR.
- FlModel/SlModel support model path dict.
- Upgrade sf-ppu version to 0.0.7.1
- More perfect HEU
- Split learning benchmark model
- SFXgboost for homo xgboost training
- FL: different batch size for different clients.
- Wait method for pyu objects.
- FLModel evaluate returns detailed metrics.
- PPU listen address.