bioint/MetisFL
The first open Federated Learning framework implemented in C++ and Python.
This framework helps data scientists and machine learning engineers develop and deploy machine learning models collaboratively without sharing sensitive raw data. It takes distributed datasets from multiple sources and produces a unified, trained machine learning model, ensuring data privacy and security throughout the process. It's designed for professionals working with confidential data across different organizations or departments.
521 stars. No commits in the last 6 months.
Use this if you need to train a machine learning model using datasets distributed across multiple entities, where data privacy regulations or proprietary concerns prevent direct data sharing.
Not ideal if all your data resides in a single, centralized location and can be freely shared and processed directly.
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521
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42
Language
Python
License
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Category
Last pushed
Jun 27, 2024
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