med-air / fedbn Goto Github PK

Under data_utils.py code,
" self.paths, self.text_labels = np.load('../data/office_caltech_10/{}_train.pkl'.format(site), allow_pickle=True)"

Can you provide the code to create .pkl file of the dataset used here?

Hi, I came across your work. It was an interesting idea, but it ran into some problems during the experiment.

When I clone your code, run the command below. The accuracy in the paper cannot be obtained.

# benchmark experiment
python fed_digits.py --mode fedbn --iters 300

This is my best experiment.

============ Train epoch 208 ============
 MNIST      | Train Loss: 0.0003 | Train Acc: 1.0000
 SVHN       | Train Loss: 0.0010 | Train Acc: 1.0000
 USPS       | Train Loss: 0.0004 | Train Acc: 1.0000
 SynthDigits| Train Loss: 0.0007 | Train Acc: 1.0000
 MNIST-M    | Train Loss: 0.0007 | Train Acc: 1.0000
 MNIST      | Test  Loss: 0.0985 | Test  Acc: 0.9689
 SVHN       | Test  Loss: 0.9124 | Test  Acc: 0.7232
 USPS       | Test  Loss: 0.1033 | Test  Acc: 0.9683
 SynthDigits| Test  Loss: 0.5342 | Test  Acc: 0.8359
 MNIST-M    | Test  Loss: 0.6474 | Test  Acc: 0.7904

Did I miss any details?

My platform

Ubuntu 20.04
GeForce RTX 2080 Ti
Intel(R) Xeon(R) Silver 4214 CPU @ 2.20GHz

Thanks for taking the time to help!

I have tried various methods to test the code of fedbn (use the trained model, input a picture for prediction), fedbn can not give the correct result, but fedavg is normal

Dear Authors,

How long does this model need to train?

we find that the train sets are kept the same size on all domains as the 'min_data_len' and we think there is a mistake:

Hi, I have read your paper and code and found it to be an interesting work!

I have a question here, that is, why not test the performance of server model in the experiments?
If only the performance of client model is needed, it seems that it would be better train the model locally?

hello,when I ran pip install -r requirements.txt
there was an error show up and I can't do anything moreover (here is the screenshot)
what could I do ?

When I run ./utils/data_preprocess.py python An error has occurred：requests.exceptions.SSLError: HTTPSConnectionPool(host='www.baidu.com', port=443): Max retries exceeded with url: / (Caused by SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:997)')))

How to solve this error？

Would you please provide a preprocessed ABIDE I data set?