Federated Learning

Federated learning is a machine learning technique that trains an algorithm across multiple decentralized edge devices or servers holding local data samples, without exchanging them.

• 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
• Mix Federated Learning
  • Mix Logistic Regression