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Thanks for sharing the code. The hyperparameters for fedmeta seems missing in the run.sh, so I just run python main.py --alg metafed --dataset medmnist --iters 300 --wk_iters 1 --non_iid_alpha 0.1 --model_momentum 0.3, and I got an average accuracy 54.53. But the accuracy in the benchmark is 83.87, and which is 90.81 in Table 3 of your paper.
Thanks for your attention!
The text was updated successfully, but these errors were encountered:
Thank you for your question. We have revised run.sh. Please refer to the latest version. Please utilize the same splits of data and the same environment for re-implementations. This open-source library did not exist when we performed experiments on MetaFed. Therefore, there might be some differences in results due to different environments, data splits, and some other factors.
Hi,
Thanks for sharing the code. The hyperparameters for fedmeta seems missing in the
run.sh
, so I just runpython main.py --alg metafed --dataset medmnist --iters 300 --wk_iters 1 --non_iid_alpha 0.1 --model_momentum 0.3
, and I got an average accuracy 54.53. But the accuracy in the benchmark is 83.87, and which is 90.81 in Table 3 of your paper.Thanks for your attention!
The text was updated successfully, but these errors were encountered: