FLoX
FLoX (Federated Learning on funcX) is a Python library for serverless Federated Learning experiments.
This is initial documentation that will be soon expanded.
Installation
Use the package manager pip to install flox.
# seems like flox is taken, will update the name soon
pip install flox
Usage
For a full example, see this Google Colab tutorial.
from flox.flox import federated_learning
# performs 5 rounds of Federated Learning train global_model on given endpoint_ids
# uses 10 epochs and 100 samples from fashion_mnist dataset for training
federated_learning(global_model=global_model,
endpoint_ids=endpoint_ids,
loops=5,
epochs=10,
keras_dataset="fashion_mnist",
num_samples=100,
input_shape=(32, 28, 28, 1))
Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
License
1 maintainer
Metadata
1 maintainer
Release files for pyflox 0.1.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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Release files / pyflox-0.1.5.tar.gz
| Download URL | pyflox-0.1.5.tar.gz |
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