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All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.

Home Page: https://github.com/EasyFL-AI/EasyFL

License: MIT License

Python 8.35% Shell 91.65%
federated-learning machine-learning data-privacy communication-efficiency federated-optimization differential-privacy-deep-learning distributed-optimization federated-learning-framework privacy meta-learning

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awesome-federated-learning's Issues

New FL & DP framework.

Hello, my name is Nuria. I'm a Ph.D. student in the University of Granada. Recently, we have released an open-source framework with FL & DP solutions in collaboration with Sherpa.AI (https://sherpa.ai/).

I would really appreciate if you take a look at it and add it to the frameworks' section

https://developers.sherpa.ai/privacy-technology/
https://github.com/sherpaai/Sherpa.ai-Federated-Learning-Framework

Here is the arXiv link to the publication (submitted and hopefully accepted soon): https://arxiv.org/abs/2007.00914

Thank you so much!!

Recommend Another 'Awesome-Federated-Learning-on-Graph-and-Tabular-Data' Repo

Thank you very much for organizing the Federated Learning works! ❤️

Inspired by you and other contributors, I open another repository Awesome-Federated-Learning-on-Graph-and-Tabular-Data.

I think a reorganized section on graph data, graph neural networks, and open source frameworks may be helpful and I recommend it to you here.

I highly recommend the part of the open source framework I put together ~

https://github.com/youngfish42/Awesome-Federated-Learning-on-Graph-and-Tabular-Data#federated-learning-framework

图片

Looking forward to your visit, thanks!

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