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chaoyanghe avatar chaoyanghe commented on August 24, 2024

@iuserea Hi, I think your local code is in an older version. Please update to the latest version. I just double-checked, it works now.

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chaoyanghe avatar chaoyanghe commented on August 24, 2024

@iuserea check the latest code please.

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iuserea avatar iuserea commented on August 24, 2024

There're still wrong when running under standalone environment with using following command.

nohup sh run_fedavg_standalone_pytorch.sh 2 10 64 cifar10 ./../../../data/cifar10 resnet56 homo 200 20 0.001 > ./fedavg_standalone.txt 2>&1 &

image

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chaoyanghe avatar chaoyanghe commented on August 24, 2024

@iuserea

We suggest using the distributed computing when training large DNN like ResNet since the standalone version is very time-consuming. So we remove the model initialization at create_model() - main_fedavg.py in previous version.

Now I added back large DNN models for standalone. You can choose any as you like if you can accept a very long training time...

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iuserea avatar iuserea commented on August 24, 2024

@chaoyanghe
Thank you for your kindness for interpretation.I'll have a try at least once.

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