Contributing EDEN compression pipeline #527
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Co-Authored-By: Shay Vargaftik <16802840+shayvar@users.noreply.github.com>
Co-Authored-By: Shay Vargaftik <16802840+shayvar@users.noreply.github.com>
Co-Authored-By: Shay Vargaftik <16802840+shayvar@users.noreply.github.com>
|
This PR contains a contribution by VMware Research of EDEN -- an unbiased lossy compression method that uses a random rotation followed by deterministic quantization and scaling, as described in the following ICML 2022 paper: "EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning" |
psfoley
reviewed
Oct 10, 2022
Co-Authored-By: Shay Vargaftik <16802840+shayvar@users.noreply.github.com>
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@psfoley, we committed the requested conditional import, thanks. |
psfoley
approved these changes
Oct 12, 2022
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This PR contains a contribution by VMware Research of EDEN -- an unbiased lossy compression method that uses a random rotation followed by deterministic quantization and scaling, as described in the following ICML 2022 paper:
"EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning"
Shay Vargaftik, Ran Ben Basat, Amit Portnoy, Gal Mendelson, Yaniv Ben Itzhak, Michael Mitzenmacher,
Proceedings of the 39th International Conference on Machine Learning, PMLR 162:21984-22014, 2022.
https://proceedings.mlr.press/v162/vargaftik22a.html