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Release v1.8.0
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@mgqa34 mgqa34 released this 18 Apr 14:23
· 3365 commits to master since this release
v1.8.0
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Major Features and Improvements

FederatedML

  • Add non-coordinated-version Hetero Linear Regression, based on integrated Hetero GLM framework, with mixed protocol of HE and SPDZ
  • Homo LR support one-vs-rest
  • Add SecureBoost-MO algorithm to speed up multi-class classification of Hetero & Homo SecureBoost, 1.5x-5x faster
  • Optimize Hetero SecureBoost Predict Transmission Data Size，reduce 75% bandwidth consumption if tree's max depth is small
  • Speed up DH Intersection implementation, 30%+ faster
  • Optimized Quantile Binning gk-summary structure & split point query，20%+ faster, less memory cost
  • Support weighted training in non-coordinated Hetero Logistic Regression & Linear Regression
  • Merge Hetero FastSecureBoost into Hetero SecureBoost as a boosting strategy option

Fate-ARCH

  • Adjustable task_cores for standalone FATE
  • Enable Eggroll option to make computing output "IN_MEMORY" by default

Fate-Test

  • Include Paillier encryption performance evaluation
  • Include SPDZ performance evaluation
  • Optimized testsuite printout
  • Include examples data upload and mnist download
  • Provide pipeline to dsl convert tools

Bug-Fix

  • Fix bug for SPDZ when using default q_filed
  • Fix multiple get problem of SPDZ
  • Fix bugs of recursive-query homo feature binning
  • Fix homo_nn's model aggregation problem
  • Fix bug for hetero feature selection when using federated filter but some party's feature is empty.
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