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. It implements secure computation protocols based on homomorphic encryption and multi-party computation (MPC). Supporting various federated learning scenarios, FATE now provides a host of federated learning algorithms, including logistic regression, tree-based algorithms, deep learning and transfer learning. FATE became open-source in February 2019. FATE TSC was established to lead FATE open-source community, with members from major domestic cloud computing and financial service enterprises. FedAI is a community that helps businesses and organizations build AI models effectively and collaboratively, by using data in accordance with user privacy protection, data security, data confidentiality and government regulations.

Features

  • Meet security and compliance requirement
  • Security & Compliance
  • Ensure data privacy and model security
  • Connect with business partners of various industries
  • Sustainable and intelligent incentive mechanisms
  • Stable and win-win business ecosystem

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License

Apache License V2.0

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FATE Web Site

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Additional Project Details

Programming Language

Python

Related Categories

Python Algorithms, Python Frameworks, Python Deep Learning Frameworks, Python Federated Learning Frameworks

Registered

2022-02-24