Comments (3)
This is related to the performance of these algorithms that are designed by the authors of their relevant papers, rather than issues of implementations in Plato. The implementations in examples/ are contributed by various contributors, and serve as references and examples for using Plato as a framework. One possible idea towards showing different results is to use more sophisticated models (rather than MNIST), and to introduce non-iid data distributions (using samplers provided by Plato) with the concentration parameter α defined appropriately in the corresponding Dirichlet distribution.
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Thanks for your reply, I'll try more settings and models. I just want to get some advise on my results reproduction and I'm not familiar with the rules of Issues. I apologize for my wrong use. If I reproduce some other algorithms correctly, may I commit PR to the Repo?
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Of course.
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