Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Regarding LotFL performance #8

Open
kgbssj opened this issue Apr 2, 2021 · 0 comments
Open

Regarding LotFL performance #8

kgbssj opened this issue Apr 2, 2021 · 0 comments

Comments

@kgbssj
Copy link

kgbssj commented Apr 2, 2021

Hi all,

is anyone successful in reproducing the results (e.g. near 90% for CIFAR10 personalized model, 20 participants, 400 clients etc.) in LotteryFL paper? From my trials, I'm not sure why, but it just converges around 70~75% with the same parameters.

Some questions I have are,

  • which data is used for local validations?
  • are the test sets the sum of the n-classes' entire test data (e.g. 1000 for class 1 and 1000 for class 6)?

Need explanation for the performance gap. Don't see any major bugs.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant