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# FedHarmony
* **Title:** FedHarmony: Unlearning Scanner Bias with Distributed Data
* **Venue:** MICCAI 2022
* **Link to paper:** https://conferences.miccai.org/2022/papers/216-Paper1639.html
## Do …
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reviews
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Thanks for your great work and great code!
I reproduce the experiments on MNIST under NIID Partition Strategy : Sharding with FedAvg and Fedprox. I modify the dataset name to mnist in both fedavg.j…
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python main.py --dataset CIFAR100 --data_split_file ./data_split/CIFAR100_split_cn10_tn4_cet20_s2571.pkl --num_glob_iters 40 --local_epochs 400 --lr 1e-3 --flow_lr 5e-3 --k_loss_flow 0.5 --k_flow_last…
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Hi, I have a bit of a question about the implementation part of your fedprox algorithm, could you please answer it?
![1713166293159](https://github.com/woodenchild95/FL-Simulator/assets/130957078/3…
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**Describe the bug**
The line 105 of cfl.py show below may lead to a divion by zero error that may occure if none of the models in the cluster have been updated.
```
104 weights = torch.on…
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Hi, Jingyi.
Many thanks for your excellent work.
But i have a puzzle.
`parser.add_argument('--beta', type=float, default=0,
help="coefficient for local proximal，0 for fedav…
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## Keyword: sgd
There is no result
## Keyword: optimization
### Multi-Target Decision Making under Conditions of Severe Uncertainty
- **Authors:** Authors: Christoph Jansen, Georg Schollmeyer, Thoma…
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I'm runnin the default run (python main.py fedavg config/template.yml) . I'm getting the following report :
client [79] (test) loss: 0.3858 -> 0.3872 accuracy: 88.50% -> 88.00%
client [28] (tes…
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Thank you for open-sourcing your project. I notice that "FedDF" (Ensemble Distillation for Robust Model Fusion in Federated Learning) is one of your baselines in your paper, however, you provide code …