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

[youngfish42]

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

Looking forward to your visit, thanks!

[AmberLJC]

Great work @youngfish42 ! Actually I really love the way you organize these frameworks, i.e. outline its supported features (basically graph now). Let me actually include your repo under mine.
And since we care more about the federated computation systems, you inspire me to include a table to introduce the features of each framework, such as scalability, fault tolerance, supported datasets, evaluation latency etc. I'll try to finish it asap. Can you also do me a favor to advertise this system-side summary for FL/FA whenever possible?

[youngfish42]

I'm honored that you enjoyed my work on summarizing information about FL open source frameworks.

The table I put together leans more towards the basic information of each framework, and I very much look forward to your further and more detailed interpretation of these frameworks in the future.

I've been following this repository of yours for a long time and have included it in my final list of thanks. I will tell my friends more about your work on Federated Computing Systems when you improve the information further~ 😄