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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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Dear author,
Hello. This paper has been extremely beneficial to me. However, I have a question regarding the following statements in the paper:
"Please refer to the supplementary material for mo…
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Hi，I'm very interested in your project and try to test the agent according to your README. And I encounter a few confusing problems.
1、After I run the `make_submission_file.py` directly using the fol…
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Hi~, I wonder to know what the DDIM does in the `ddim_step` of Algorithm 2 of the paper.
Could you describe intuitionally how the DDIM changes the `pred_bboxes`.
I don't get why DDIM can improve the…
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Hi,
thanks for sharing your implementation. I have two questions about it:
1. Does it also work on tabular data?
2. Is it possible to identify the noisy instances (return the noisy IDs or the cle…
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# Per-FedAvg
* **Title:** Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach
* **Venue:** NeurIPS 2020
* **Link to paper:** https://proceedings.neuri…
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Hi @dopplerchase , I am using the .nc file for a few demos, and was wondering how hard it would be to pull a little bit more data into that .nc file? Would be great if it was 2-6x larger both in time …
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@krishnabits001
Hello, Thanks for this wonderful work. I have checked your code for pretrain the decoder.
it was more than 800 lines within the same instance method, which is very hard to understa…
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I read Alessandro Epasto's slides from page 241 in https://gm-neurips-2020.github.io/master-deck.pdf. He shows great results and the key is an interesting graph transformation. Could we put this in a …