zouyu4524/fl-android
Implementation of federated learning on Android devices. Please find more details in the following blog post. (in Chinese)
This project helps machine learning researchers and developers implement and test federated learning directly on Android mobile devices. It takes initial machine learning models and distributes them to Android phones or tablets. These devices then train the models using their local data, and the project aggregates the updated model components back on a central server to create a better overall model. This is ideal for those exploring privacy-preserving machine learning.
No commits in the last 6 months.
Use this if you are a researcher or developer who needs to experiment with federated learning in a realistic mobile environment, training models on user data without centralizing it.
Not ideal if you are looking for a high-level API to integrate federated learning into an existing production application without needing to delve into the implementation details on mobile.
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33
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9
Language
Java
License
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Last pushed
Jul 29, 2019
Commits (30d)
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