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What do you mean by penalize dissimilarity in your new FL formulation? Isn't this penalty against personalization of local models?
basically using lambda and the regularization to control the degree of personalization?
I'm wondering on the frameworks for FL? If i'm trying to apply FL to my own project, are there any frameworks that's easy to use now?
so it's still not widely used?