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# FedSAM
* **Title:** Improving Generalization in Federated Learning by Seeking Flat Minima
* **Venue:** ECCV 2022
* **Link to paper:** https://arxiv.org/abs/2203.11834
## Do you want to work on thi…
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Thank you for sharing the code for this very interesting work.
I tried to reproduce your FPL.
It generally worked, but I could not reproduce only the SYN dataset for Digits. The results in Table …
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非常感谢您的工作,但是我在复现您代码过程中,常会遇到如下问题,在模型迭代过程中,accuracy 会突然变成0,以及loss会趋近于Nan。我想知道出现这个问题的原因是什么。
`{"option": {"sample": "md", "aggregate": "uniform", "num_rounds": 100, "proportion": 0.6, "learning_rate_decay…
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Code is missing for generating the different graph show in the published arcticle "Communication-efficient federated continual learning for distributed learning system with Non-IID data".
I would hi…
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# FedDF
* **Title:** Ensemble Distillation for Robust Model Fusion in Federated Learning
* **Venue:** NeurIPS 2020
* **Link to paper:** https://proceedings.neurips.cc/paper/2020/hash/18df51b97ccd6812…
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# FedMix
* **Title:** FedMix: Approximation of Mixup under Mean Augmented Federated Learning
* **Venue:** ICLR 2021
* **Link to paper:** https://openreview.net/forum?id=Ogga20D2HO-
## Do you want to…
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### Describe the bug
Running the baselines with other models e.g. torchvision.models.resnet18 for fedprox/fednova/etc. fails with an out of bounds exception. This is the same problem that many peop…
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## Question
I am exploring the use of different federated learning algorithms in scenarios where the performance of one might falter due to specific data distributions among clients.
I would li…
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- Reviewer Yydy
strength
> I like the intuition of using confidence gaps (obtained through logits only) to approximate the original private model, but there shall be more details about the inver…
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# pFedHN
* **Title:** Personalized Federated Learning using Hypernetworks
* **Venue:** ICML 2021
* **Link to paper:** https://proceedings.mlr.press/v139/shamsian21a.html
## Do you want to work on th…