Release Notes for the <Federated ML Blue Print>l

• Summary

  This document provides the release note for federated ml applicatons at edge.

  
  

  what is released 

  components of the release
  

  • Hetero SecureBoost: more efficient computation with GOSS, histogram subtraction, cipher compression, 2-4x faster
  • Hetero GLM: improved communication efficiency, adjustable floating point precision, 2x faster
  • Hetero NN: adjustable floating point precision, support SelectiveBackPropagation and dropOut on interaction layer, 2x faster
  • Hetero Feature Binning: improved algorithm with cipher compression, 2x faster
  • Intersect: add split calculation option and adjustable random base fraction, 30% faster
  • Homo NN: restructure torch backend and enhanced grammar; train and predict with raw image data
  • Intersect supports SM3 hashing method
  • Hetero SecureBoost: L1 penalty & adjustable min_child_weight to prevent overfitting
  • NEW SecureBoost Transformer: feature engineering module that encodes instances with leaf nodes from SecureBoost model
  • Hetero Pearson: support local VIF computation
  • Hetero Feature Selection: support selection based on VIF and Pearson
  • NEW Homo Feature Binning: support virtual/recursive binning strategy
  • NEW Sample Weight: set sample weights based on label or from feature column, Hetero GLM & Hetero SecureBoost support weighted training
  • NEW Data Transformer: case-insensitive on data schema
  • Local Baseline supports prediction task
  • Cross Validation: output fold split history
  • Evaluation: add multi-result-unfold option which unfolds multi-classification evaluation result to several binary evaluation results in a one-vs-rest manner

• Upgrade Procedures
  • N/A

• Release Data

  • Module version changes

    • 1.6.0

  • Document Version Changes

    • N/A

  • Software Deliverable

    • Software is available in the ai edge repo: https://gerrit.akraino.org/r/admin/repos/aiedge

  • Documentation Deliverable

    • R5 Federated ML application at edge API Document
    • R5 Federated ML application at edge Installation Document
    • R5 Federated ML application at edge Test Document
    • R5 Federated ML application at edge Architecture Document

  • Fixed Issues and Bugs

    • N/A
• Enhancements
  • N/A

• Version change

• Deliverable

• Known Limitations, Issues and Workarounds

• System Limitations

• Known Issues

  • N/A

• Workarounds

  • N/A

• References

  • FATE release logs