HFL Model Training

Horizontal Federated Learning (HFL) is used in scenarios where datasets share the same feature space (same type of columns) but differ in samples (different rows).

integrate.ai supports the following HFL model types:

• FFNet - Feed forward neural network

• Linear inference

• Gradient Boosted Models (GBM)

• Generalized linear models (GLM)

• Making predictions

Vertical Federated Learning (VFL) is also supported. Click here to learn more.