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Hello, I have a question.Do you implement the Fedadagrad, FedYogi, FedAdam algorithm of the paper "Adaptive Federated Optimization" in the code fedopt?
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Hi,
Thanks for starting the refactoring. Here are a few comments to go even further. I will not mark anything as compulsory given the time constraints, but it would be great to save what will not b…
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FedLGT (Language-Guided Transformer for Federated Multi-Label Classification)
Paper: I-Jieh Liu et al., AAAI 2024
Intuition:
FedLGT is designed to handle multi-label image classification in feder…
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# FedSMOO
* **Title:** Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape
* **Venue:** ICML 2023
* **Link to paper:** https://…
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### Describe the bug
When I use any of the FedOpt strategies (FedAdam, FedYogi, FedAdagrad) it seems very unstable, the model outputs NaNs after second/third aggregation.
### Steps/Code to Repr…
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**Describe the bug**
The FedOpt algorithm is not working as expected in cifar10 example when I change the model from the pre-existing ModerateCNN to another model like MobileNetv2 or Resnet18 and oth…
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**Is your feature request related to a problem? Please describe.**
FedAdam,FedAdaGrad and FedYogi are implemented in PyTorch in the Flame system, but not in Tensorflow yet.
**Describe the solution…
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In GitLab by @sayed on Sep 24, 2022, 02:00
**Introduction**
The purpose of this issue is to highlight the work in progress regarding the implementation of new FL algorithms / aggregation strategies,…
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@regloeb as we discussed during the FedAdam PR tcga_brca test sets are not stratified in terms of censorships so there is one center with no admissible pairs. You have to redo the splits.