CCST
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Official repo for the WACV 2023 paper: Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer.
https://github.com/JeremyCJM/CCST/blob/87c3e448cfa28c366b58d17f8dffc5d3d83574e5/federated/fed_run.py#L112-L122 Your meta learning implementation is wrong, `load_state_dict()` does not preserve the computation graph so `loss_outer` will never propagate gradient back to the original model parameters. be careful :)
can not download pre-trained VGG. google drive raises that the file dose not exist.
Dear author: I am glad to see your work and I found you say you use the SGD with lr=1e-3, so I would like to know that do you use...
I am attempting to run feddg using the following command: `python fed_run.py --mode fedavg --dg_method 'feddg' --source art_painting cartoon sketch --target photo --log` Unfortunately, I have encountered an error which...