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liang-feng jding0 dylan-fan willjay5991 jonesky lemonviv changdaxia changdaxia-pts sharonsharonhu yushuaiji luan-gu flycoderxmf nachoandres vanikandhasamy slz-ai waseemtannousfedmf's Issues
question
Hi,
I have a question about the result:
Why do regular_mf and fed_mf(part) have similar results on the metric of RMSE when testing? However, the result of distribute_mf(part) is a lot worse?
regular_mf rmse 1.3969165
Fed_mf rmse 1.3965372
distribute_mf rmse 12.182842
Looking forward to your reply. Thank you very much~
update the gradients while update the user_vector?
I have some questions about the gradient descent method in this repo.a response would be greatly appreciated.
Why do u update the gradients while update the user_vector?
Why don't u choose the standard gradient descent method or block coordinate descent method?
Can this accelerate the convergence?
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