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 is an open source project hosted by Linux Foundation. The Technical Charter sets forth the responsibilities and procedures for technical contribution to, and oversight of, the FATE (“Federated AI Technology Enabler”) Project.
https://fate.readthedocs.io/en/latest
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.
Deploying FATE to multiple nodes to achieve scalability, reliability and manageability.
FATE-Community contains all the documents about how the community members coopearte with each other.
FATE is an inclusive and open community. We welcome developers who are interested in making FATE better! Contributions of all kinds are welcome. Please refer to the general contributing guideline of all FATE projects and the contributing guideline of each repository.
Join the FATE user mailing list, and stay connected with the community and learn about the latest news and information of the FATE project. Discussion and feedback of FATE project are welcome.
File bugs and features requests via the GitHub issues. If you need help, ask your questions via the mailing list.
Maintainers: FedAI-maintainers @ groups.io
Security Response Committee: FATE-security @ groups.io
Follow us on twitter @FATEFedAI
https://github.com/FederatedAI/FATE/wiki
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