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Release v1.9.0
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@mgqa34 mgqa34 released this 31 Aug 08:40
· 2777 commits to master since this release
v1.9.0
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Major Features and Improvements

FederatedML

  • Add elliptic curve based PSI algorithm, which allows 128-bit secure-level intersection of billion samples, 20x faster than RSA protocol under the same security level
  • Support accurate intersection cardinality calculation
  • Support for multi-column ID data; user may specify id column for PSI intersection and subsequent modeling usage
  • Hetero NN supports torch backend and supports complex layers such as LSTM
  • Add CoAE label reinforcement mechanism for vertical federated neural network
  • Hetero NN supports multi-host modeling scenarios
  • HeteroSecureBoost supports merging sub-models from all parties and exporting the merged model into lightgbm or PMML format
  • HeteroLR and HeteroSSHELR support merging sub-models from all parties and exporting the merged model into sklearn or PMML format
  • HeteroFeatureSelection supports anonymous feature selection
  • Label Encoder adds automatic label type inference
  • 10x faster local VIF computation in HeteroPearson, with added support for computing local VIF on linearly dependent columns
  • Optimized feature engineering column processing logic
  • HeteroFeatureBinning supports calculation of IV and WOE values during prediction
  • Renewed feature anonymous generation logic

FATE-ARCH

  • Support python3.8+
  • Support Spark 3x
  • Renewed Federation module, RabbitMQ and Pulsar support client transmission mode
  • Support Standalone, Spark, EggRoll heterogeneous computing engine interconnection

Fate-Client

  • PipeLine adds timeout retry mechanism
  • Pipeline's get_output_data API now may return component output data in DataFrame-typed format
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