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In GitLab by @sharkovsky on Apr 18, 2023, 15:50
I keep getting the following errors
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'TorchModel.set_weights' received inputs that did not cover allmodel parameters; missing weights: ['unet.model.…
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Towards Personalized Federated Learning - https://arxiv.org/pdf/2103.00710.pdf
Three Approaches for Personalization with Applications to Federated Learning - https://arxiv.org/pdf/2002.10619.pdf
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Hi! @haozzh
I couldn't reproduce the result of your paper and even got an unreasonable result when trying to reproduce FedAvg.
“[2023-08-28 11:38:29,613][INFO] Epoch:[498] lr = 0.01000 loss= 3.922…
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Dear NVFlare Team,
**Is your feature request related to a problem? Please describe.**
When dealing with Tabular Data, the Federated XGBoost that you provide is great! However, when the data are no…
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I would like to cite the work FedALA. Could you please add the corresponding BibTeX to the README?
Thanks！
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_Note: I’m not sure this is the right place to raise/plant my idea, very sorry for that._
Nostr addressed most of the issues with Mastodon but it missed the key issue of Mastodon.
Participants of …
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Hello, thank you very much for sharing the code! May I ask a question about the implementation of Per-FedAvg?
I think in the original paper, they used second-order gradients to compute the meta upd…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Is your feature request related to a problem? Please describe the problem.
I am trying to create basic S…
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This isn't so much an Issue, but rather starting a thread in here;
First of all, Great work!
After reading through the Algo.md & Demo.md it looks really promising.
But i still have some Questi…