Federated-Learning-in-PyTorch
Handy PyTorch implementation of Federated Learning (for your painless research) (by vaseline555)
msrflute
Federated Learning Utilities and Tools for Experimentation (by microsoft)
Federated-Learning-in-PyTorch | msrflute | |
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1 | 1 | |
364 | 179 | |
- | 1.1% | |
7.4 | 3.7 | |
6 months ago | 4 months ago | |
Python | Python | |
MIT License | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Federated-Learning-in-PyTorch
Posts with mentions or reviews of Federated-Learning-in-PyTorch.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Don't bother to prepare raw LEAF benchmark datasets manually
I have completed re-factoring of my FL simulation repo.:(https://github.com/vaseline555/Federated-Learning-PyTorch)
msrflute
Posts with mentions or reviews of msrflute.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing Federated-Learning-in-PyTorch and msrflute you can also consider the following projects:
FedML - FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
FedScale - FedScale is a scalable and extensible open-source federated learning (FL) platform.