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add prepare.sh script
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README.md

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@@ -301,8 +301,10 @@ Install [CUDA](https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.htm
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Install [conda latest](https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh) and activate conda.
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For additional configurations, refer to the `prepare.sh` script.
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```bash
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conda env create -f env_cuda_latest.yaml # You may need to downgrade the torch using pip to match the CUDA version
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conda env create -f env_cuda_latest.yaml # Downgrade torch via pip if needed to match the CUDA version
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```
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## How to start simulating (examples for FedAvg)

docs/quickstart.html

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@@ -182,6 +182,7 @@ <h2>Installation</h2>
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<li><p>Then install <a href="https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html">CUDA</a> following NVIDIA's instructions.</p></li>
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<li><p>Install the latest version of <a href="https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh">conda</a> and activate conda.</p></li>
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<li><p>Install the required Python dependencies using <code>env_cuda_latest.yaml</code> and conda:</p></li>
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<p>For additional configurations, refer to the <code>prepare.sh</code> script.</p>
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<pre>conda env create -f env_cuda_latest.yaml # You may need to downgrade the torch using pip to match the CUDA version.</pre>
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</ol>
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</section>

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