alibaba/FederatedScope
An easy-to-use federated learning platform
This platform helps organizations collaborate on machine learning projects without directly sharing their sensitive data. It allows multiple parties to contribute their private datasets to train a shared model, ensuring data privacy and security. The platform takes disparate datasets from various contributors and produces a robust, collectively trained machine learning model. This is ideal for data scientists, machine learning engineers, and researchers working with confidential information across different entities.
1,521 stars. No commits in the last 6 months.
Use this if you need to train machine learning models using datasets from multiple sources while maintaining the privacy and confidentiality of each source's data.
Not ideal if your data can be freely shared and combined into a single location, as simpler, non-federated machine learning approaches would be more straightforward.
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1,521
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256
Language
Python
License
Apache-2.0
Category
Last pushed
Aug 10, 2024
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