filrg/split_learning
スプリットラーニング - Split Learning with PyTorch
This project helps data scientists, machine learning engineers, and researchers train deep learning models across multiple devices or organizations without directly sharing sensitive raw data. It takes a deep learning model and data distributed across different machines, processes intermediate data activations, and produces a fully trained model. This is especially useful for collaborative projects in sensitive fields.
Use this if you need to train a deep learning model using data from various sources while protecting the privacy of that data, or if you're working with devices that have limited computational resources.
Not ideal if your deep learning model can be trained on a single machine with all data centrally located and no privacy concerns.
Stars
7
Forks
2
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 13, 2026
Commits (30d)
0
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