Skip to main content
Ctrl+K

SecretFlow

Site Navigation

  • Getting started
  • User Guide
  • API Documentation
  • Tutorial
  • Component
    • Developer
  • GitHub

Site Navigation

  • Getting started
  • User Guide
  • API Documentation
  • Tutorial
  • Component
    • Developer
  • GitHub

Section Navigation

  • Preprocessing
    • DataFrame
    • Weight Of Evidence encoding
  • Private Set Intersection(PSI)
  • MPC Machine Learning
    • Linear Models
    • Decision Trees
    • Feature Engineering
  • Federated Learning
    • Horizontal Federated Learning
      • Federated NN Model
      • Horizontally Federated XGBoost
    • Vertical Federated Learning
      • Split Learning
      • Vertically Federated XGB (SecureBoost)
      • SplitRec: When Split Learning in Secretflow meets Recommandation System
        • Effectiveness
        • Efficiency
        • Security
    • Mix Federated Learning
  • User Guide
  • SplitRec: When Split Learning in Secretflow meets Recommandation System
  • Effectiveness

Effectiveness#

We provide encapsulations for Split DeepFM, BST, MMoe, and other models. The specific user manuals are as follows:

  • SplitRec：在隐语中使用拆分 MMoe 算法（Tensorflow 后端）
  • SplitRec：在隐语中使用拆分 BST 算法（Tensorflow 后端）
  • SplitRec：在隐语中使用拆分 BST 算法（Torch 后端）
  • SplitREC: Using DeepFM Algorithm in SecretFlow

previous

SplitRec: When Split Learning in Secretflow meets Recommandation System

next

SplitRec：在隐语中使用拆分 MMoe 算法（Tensorflow 后端）
Show Source

© Copyright 2022 Ant Group Co., Ltd..

Created using Sphinx 5.3.0.

Built with the PyData Sphinx Theme 0.14.4.