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FATE

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FederatedAI/FATE

An Industrial Grade Federated Learning Framework

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Python Apache-2.0Created Jan 24, 2019

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Overview

An Industrial Grade Federated Learning Framework

Capability facts

Languages
python

Source: github.language+pyproject.toml · Jul 11, 2026

Categories

Model TrainingComputer VisionInference & Serving

Tags

fatealgorithmmachine-learningpythonfederated-learningprivacy-preserving

README

Getting Started

FATE can be deployed on a single node or on multiple nodes. Choose the deployment approach which matches your environment. Release version can be downloaded here.

Standalone deployment

  • Deploying FATE on a single node via PyPI, pre-built docker images or installers. It is for simple testing purposes. Refer to this guide.

Cluster deployment

Deploying FATE to multiple nodes to achieve scalability, reliability and manageability.

  • Cluster deployment by CLI: Using CLI to deploy a FATE cluster.
  • Docker-Compose deployment: Using docker-compose to deploy FATE.

Quick Start

  • Training Demo with Only FATE Installed From Pypi
  • Training Demo with Both FATE AND FATE-Flow Installed From Pypi