microsoft/msrflute
Federated Learning Utilities and Tools for Experimentation
This platform helps machine learning researchers rapidly test and validate their ideas for federated learning models. You input your proposed federated learning model architecture and training data, and it simulates the training process across millions of clients, providing performance metrics like accuracy, training time, and GPU memory usage. This tool is ideal for researchers developing new federated learning algorithms or model types.
194 stars. No commits in the last 6 months.
Use this if you are a machine learning researcher who needs to quickly simulate and benchmark federated learning models at scale, using various optimizers, aggregation methods, and model types.
Not ideal if you are looking for a secure aggregation solution for production-ready federated learning, as this platform is primarily designed for high-performance experimentation and prototyping.
Stars
194
Forks
23
Language
Python
License
MIT
Category
Last pushed
Jan 11, 2024
Commits (30d)
0
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