CHANGELOG.md

Changelog

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.

Types of changes

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.

Staging

Added

Changed

Fixed

[0.8.0b0] - 2023-3-28

Added

• SCQL (Secure Collaborative Query Language).

Changed

• Bump spu to 0.3.2b9.

[0.7.18b5] - 2023-3-22

Changed

• Bump many dependencies for security fix.

[0.7.18b4] - 2023-3-7

Changed

• Bump RayFed to 0.1.1a.

Fix

• give min num_cpus for simulation.

[0.7.18b3] - 2023-2-13

Fix

• add init.py to sl tensorflow strategy folder.

[0.7.18b2] - 2023-2-9

Fix

• add party as resource label in simulation mode.

[0.7.18b1] - 2023-1-30

Changed

• add option whether exit on cross-silo sending.
• put all requires in one file except dev.

Fix

• Fix psi_join_csv output columns error.
• fix heu object decode.

[0.7.18] - 2023-01-09

Changed

• Bump:
  • rayfed to 0.1.0b0.
  • spu to 0.3.1b9.
  • sf-heu to 0.3.2b1.

[0.7.17] - 2022-12-21

Added

• add export_model api for SLModel
• add get_params api for preprocessing

Changed

• 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.

Fixed

• psi join multi-key sort command parameters

[0.7.16] - 2022-12-16

Changed

• Optimize psi join memory usage.

[0.7.15] - 2022-12-14

Changed

• Bump rayfed to 0.1.0a9.

Fixed

• SS GLM distribution type err.

[0.7.14] - 2022-12-12

Added

• GLM.

Changed

• bump rayfed to 0.1.0a8.

Fixed

• 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.

[0.7.13] - 2022-12-08

Added

• Multi controller based on rayfed.

Changed

• Rewrite data builder.
• Bump to yacl.
• utils.testing.cluster_def supports NPC.

Fixed

• 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.

[0.7.12] - 2022-11-18

Changed

• OneHotEncoder remove PYUObject property.

Fixed

• Add sl_model metrics wrap to fix format error.

[0.7.11] - 2022-11-15

Added

• Add Finetune and FedEval to SFXgboost
• Add SLModel support multi parties(>=2)

Changed

• FLModel support most metrics of regression and classification

Fixed

• SLModel can be initialized without model.
• PSI doc typos.
• Fix the logic error bug of savemodel and loadmodel path in SLModel and FLModel

[0.7.10] - 2022-10-25

Added

• 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.

Changed

• 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.

Fixed

• Raise exception if spu_fe.compile fails.
• Fix quantile security vulnerability.
• Fix woe bin bugs.
• Fix psi_join recv timeout.

[0.7.9] - 2022-10-24

Added

• omp_num_threads param for secretflow init().
• Regression and biclassification evaluation.
• Xgboost evaluation.
• Horizontal fl supports default naive aggreagte for metrics.
• PVA calculation.

Changed

• Remove graph util NodeDataLoader.

Fixed

• VDataFrame docstring.
• Remove dependencies
  • dgl

Changed

• Get rid of import tensorflow/torch when import secretflow.

[0.7.8] - 2022-9-22

Added

• Add license file

Fixed

• Fix sl predict & remove reveal
• Fix typos in function docs.

Changed

• Bump dependencies
  • TensorFlow to 2.10.0
  • Jax to 0.3.17
  • Jaxlib to 0.3.15

[0.7.7] - 2022-9-16

Changed

• Bump dependencies
  • sf-heu to 0.2.0
  • spu to 0.2.5

[0.7.6] - 2022-09-08

Fixed

• Missing requirements in dev-requirements.txt.

[0.7.5] - 2022-09-05

Added

• SPU config param: throttle_window_size

[0.7.4] - 2022-09-01

Added

• PSI param: bucket_size

Changed

• SPU config param http_timeout_ms defaults to 120s.
• Bump dependencies
  • sf-heu to 0.1.3.2

[0.7.3] - 2022-08-29

Added

• Add pytorch backend for fl model for classification
• Add FL Dp strategy

Changed

• Update document
• Shrink docker image size
• Bump dependencies
  • sf-heu to 0.1.3.1

[0.7.2] - 2022-08-25

Changed

• Use secretflow-ray instead of ray.

[0.7.1] - 2022-08-25

Added

• Add steps_per_epoch parameter to callback function of SLBaseTFModel.

Changed

• Bump dependencies
  • sf-heu to 0.1.2
• Remove example of mixlr as mixlr is in official code already.

Fixed

• Fix psi docs.

[0.7.0] - 2022-08-23

Added

• Pytorch backend and FL strategy.
• SS pvalue.
• Horizontal NN global DP with RDP accountant.
• HEU supports encrypt with audit log.

Changed

• 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.

Fixed

• Fix sl gnn test.

[0.6.17] - 2022-08-11

Fixed

• fix model handle_data parties_length by adding partition_shape to dataframe

[0.6.16] - 2022-08-08

Added

• SS VIF.
• FL strategy: FedProx.
• Split GNN.

Changed

• Remove duplicated shape_spu_to_np & dtype_spu_to_np in spu.py.

[0.6.15] - 2022-08-02

Added

• 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.

Changed

• Refactor datasets from oss instead of lfs.
• Many doc improvements.

Fixed

• SecureAggregator average when weights are multi-dimensions.

[0.6.14] - 2022-07-07

Added

• Vertical dp.

Changed

• Many docs improvements.

Fixed

• Increase H2A mask bits
• Include c++ lib in setup.

[0.6.13] - 2022-06-30

Added

• simulation.dataset for tutorial
• update tutorial of FL SL & SFXgboost
• add csv stream reader for FL

[0.6.12] - 2022-06-29

[0.6.11] - 2022-06-28

Fixed

• fix sf.init argument.

[0.6.10] - 2022-06-27

Fixed

• typos, grammatical errors, implicit in docs.

[0.6.9] - 2022-06-27

Added

• Secretflow shutdown.

Fixed

• LabelEncoder returns np.int dtype.

[0.6.8] - 2022-06-22

Added

• FlModel supports csv loader.

Changed

• Rename PPU to SPU.

[0.6.7] - 2022-06-16

Added

• MixLR demo.
• DP on split learning DNN.
• XGBoost tutorial.
• DataFrame and FedNdarray supports 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] - 2022-06-09

Added

• SplitDNN dp.
• Use lfs.
• XGboost tutorial.

Fixed

• DataFrame.to_csv returns object refs for further wait.

[0.6.5] - 2022-06-06

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 causing 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

[0.6.0]

• FL: different batch size for different clients.
• Wait method for pyu objects.
• FLModel evaluate returns detailed metrics.

[0.0.6] - 2022-04-06

• PPU listen address.