-
你好，我嘗試運行了algorithms 資料夾內的 fedavg-pytorch.py
結果在第十五行報錯line 15, in
```
from args import args_parser
ModuleNotFoundError: No module named 'args'
```
請問是我哪裡出錯了?謝謝!
-
Thank you for the great work.
Besides, Does anyone try to train with CIFAR-10. I have followed the setup for Mnist: replace the data loader of Mnist to CIFAR-10, change input dimension from 1 to 3,…
-
### Describe the bug
When testing in a server-side environment, the test results appear nan, not in the first round, but in the second round, why is this?
### Steps/Code to Reproduce
def get_evalua…
-
Hi
I tried to use other strategy rather than fedavg.
I simply change fl.server.strategy.FedAvg to fl.server.strategy.FedAdagrad in the sample code (advanced_tensorflow/server.py).
And also change o…
-
使用这套代码在cifar10上进行训练，参数是20个client，local epoch为5，local batch size为128，lr为0.01， frac为1.0，优化器为sgd，同等参数下fedavg得到的模型的test acc在每次global epoch结束后都有明显提升，可是scaffold没有，想请教一下作者
-
Hi,
I am currently trying out the flower framework under pytorch.
I am very surprised how well it works.
One thing is still unclear to me, after the federated-learning process is over, i would l…
-
Excuse me, I copy your code to my environment of experiment.
Firstly, the virtual data is generated in upsample way. Then, they are loaded and normalized by mean=(0.5, 0.5, 0.5), std=(0.25, 0.25, 0.…
-
in fedml_api folder, fedopt's FedOptClientManager and FedOptTrainer are almost same to those of fedavg. But, in fedopt paper, clients should return the delta weights to server. Btw, server optimizer i…
-
If I run the script
"sh run_text_classification.sh FedAvg "niid_label_clients=100_alpha=5.0" 5e-5 0.1 2 0"
it returns an error:
File "~/workspace/FedNLP/data_manager/base_data_manager.py", line …
-
Hello!
I'm encountering an error when running the code, consistently across both the MNIST and CIFAR-10 datasets. Regardless of the configures I use (including the config files in `train_configs` di…