FederatedAI/FATE
An Industrial Grade Federated Learning Framework
FATE helps businesses and institutions collaborate on building powerful AI models using datasets that cannot be directly shared due to privacy or security concerns. It takes your confidential data and combines it securely with other parties' data, allowing you to train advanced machine learning models (like logistic regression or deep learning) without ever exposing raw information. This is ideal for data scientists, machine learning engineers, and compliance officers in industries where data privacy is paramount.
6,054 stars. No commits in the last 6 months.
Use this if you need to develop machine learning models collaboratively with other organizations, but legal, privacy, or competitive restrictions prevent you from sharing your raw data directly.
Not ideal if all your data is in one place and you have no privacy constraints, as simpler, non-federated machine learning frameworks would be more straightforward.
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6,054
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Language
Python
License
Apache-2.0
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Last pushed
Nov 19, 2024
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