https://github.com/FederatedAI/FATE

An Industrial Grade Federated Learning Framework
https://github.com/FederatedAI/FATE

algorithm fate federated-learning machine-learning privacy-preserving

Last synced: 18 days ago
JSON representation

An Industrial Grade Federated Learning Framework

• Host: GitHub
• URL: https://github.com/FederatedAI/FATE
• Owner: FederatedAI
• License: apache-2.0
• Created: 2019-01-24T10:32:43.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2024-03-08T08:32:34.000Z (about 1 year ago)
• Last Synced: 2024-04-16T17:14:21.580Z (12 months ago)
• Topics: algorithm, fate, federated-learning, machine-learning, privacy-preserving
• Language: Python
• Homepage:
• Size: 264 MB
• Stars: 5,487
• Watchers: 141
• Forks: 1,537
• Open Issues: 844
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

• awesome - FederatedAI/FATE - An Industrial Grade Federated Learning Framework (Python)
• awesome-llmops - FATE - square) | (Federated ML / Profiling)
• Aweome-Heathcare-Federated-Learning - [Code
• awesome-machine-learning-resources - **[Library
• StarryDivineSky - FederatedAI/FATE
• awesome-federated-learning - [Github
• awesome-python-machine-learning-resources - GitHub - 36% open · ⏱️ 15.04.2022): (隐私机器学习)
• awesome-vertical-federated-learning - github
• awesome-production-machine-learning - FATE - FATE (Federated AI Technology Enabler) is the world's first industrial grade federated learning open source framework to enable enterprises and institutions to collaborate on data while protecting data security and privacy. (Privacy and Safety)