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NodeGuard: A Highly Efficient Two-Party Computation Framework for Training Large-Scale Gradient Boosting Decision Tree.

Tianxiang DaiYufan JiangYong LiFei Mei
Published in: SP (Workshops) (2024)
Keyphrases
  • highly efficient
  • decision trees
  • gradient boosting
  • machine learning
  • low cost
  • computer vision
  • state space
  • np complete
  • random forest
  • training process