globus-labs/FLoX-prototype
Python library for serverless Federated Learning experiments.
This library helps machine learning researchers quickly set up and run federated learning experiments without needing to manage complex server infrastructure. You provide your machine learning model and data distributed across multiple devices, and it orchestrates the training process, outputting a collaboratively trained model. Data scientists and ML researchers who need to train models on decentralized data without sharing the raw information would use this.
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Use this if you need to perform federated learning experiments across various edge devices or distributed data sources, and want to simplify the setup of the underlying infrastructure.
Not ideal if your machine learning models do not use PyTorch or TensorFlow, or if all your data is centrally located and can be processed on a single machine.
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Language
Python
License
Apache-2.0
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Last pushed
Mar 17, 2023
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