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Federated Optimization in Heterogeneous Networks (MLSys '20)

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Does the current implementation provide the option for heuristic μ as discussed in "C.3.3 Adaptively setting μ" from [https://arxiv.org/pdf/1812.06127.pdf](https://arxiv.org/pdf/1812.06127.pdf)? > We decrease μ by 0.1 when the loss continues to...

Could you clarify how do you calculate the avg_gradient that is given as input in the pggd file? I could not find the script that imports this file. https://github.com/litian96/FedProx/blob/master/flearn/optimizer/pggd.py#L56 Thank...

Bumps [tensorflow-gpu](https://github.com/tensorflow/tensorflow) from 1.10 to 2.7.2. Release notes Sourced from tensorflow-gpu's releases. TensorFlow 2.7.2 Release 2.7.2 This releases introduces several vulnerability fixes: Fixes a code injection in saved_model_cli (CVE-2022-29216) Fixes...

dependencies

Hello,when I tried to run this code and typed `pip3 install -r requirements.txt ` in my anaconda, an error showed up like this ![image](https://user-images.githubusercontent.com/22851308/195064150-c32dc7ae-abb5-45f1-93d5-a6e4554d0fd3.png) how do I solve it ?...

According to Algorithm 2, there is a parameter gamma in the input which measures how much local computation is performed to solve the local subproblem on device k at the...

What python version are you using? I use python3.6 and some packages do not support import, so I switched to 3.5 because 3.5 has been deprecated and the dependencies cannot...

Hi, Is there a pytorch version for FedProx? Best regards

Bumps [tensorflow-gpu](https://github.com/tensorflow/tensorflow) from 1.10 to 2.12.0. Release notes Sourced from tensorflow-gpu's releases. TensorFlow 2.12.0 Release 2.12.0 TensorFlow Breaking Changes Build, Compilation and Packaging Removed redundant packages tensorflow-gpu and tf-nightly-gpu. These...

dependencies

https://github.com/litian96/FedProx/blob/d2a4501f319f1594b732d88315c5ca1a72855f50/flearn/trainers/fedbase.py#L17 Please take a look at this line. It seems that all clients are using the same ML model for local training. In other words, there is no local model,...