vaseline555/Federated-Learning-in-PyTorch
Handy PyTorch implementation of Federated Learning (for your painless research)
This project helps machine learning researchers experiment with Federated Learning by providing ready-to-use implementations of various algorithms and models. You can input standard image, text, tabular, or temporal datasets and simulate different data distribution scenarios. The output helps you evaluate the performance of your federated learning approach using a range of classification and regression metrics. This is for researchers in machine learning or data science who are exploring distributed, privacy-preserving model training.
467 stars. No commits in the last 6 months.
Use this if you are a machine learning researcher who needs to quickly set up and compare different federated learning algorithms and models on various datasets with different data distribution characteristics.
Not ideal if you are looking for a production-ready federated learning system or a tool to deploy privacy-preserving models in a live environment.
Stars
467
Forks
89
Language
Python
License
MIT
Category
Last pushed
Nov 16, 2023
Commits (30d)
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