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Update Flower-2-Strategies-in-FL-PyTorch.ipynb #1922

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Jun 14, 2023
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Update Flower-2-Strategies-in-FL-PyTorch.ipynb #1922

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Update Flower-2-Strategies-in-FL-PyTorch.ipynb
Mahdi-s Jun 13, 2023
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Merge branch 'main' into patch-1
tanertopal Jun 14, 2023
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2 changes: 1 addition & 1 deletion doc/source/tutorial/Flower-2-Strategies-in-FL-PyTorch.ipynb
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Expand Up @@ -424,7 +424,7 @@
"source": [
"## Sending/receiving arbitrary values to/from clients\n",
"\n",
"In some situations, we want to configure client-side execution (trainig, evaluation) from the server-side. One example for that is the server asking the clients to train for a certain number of local epochs. Flower provides a way to send configuration values from the server to the clients using a dictionary. Let's look at an example where the clients receive values from the server through the `config` parameter in `fit` (`config` is also available in `evaluate`). The `fit` method receives the configuration dictionary through the `config` parameter and can then read values from this dictionary. In this example, it reads `server_round` and `local_epochs` and uses those values to improve the logging and configure the number of local training epochs:"
"In some situations, we want to configure client-side execution (training, evaluation) from the server-side. One example for that is the server asking the clients to train for a certain number of local epochs. Flower provides a way to send configuration values from the server to the clients using a dictionary. Let's look at an example where the clients receive values from the server through the `config` parameter in `fit` (`config` is also available in `evaluate`). The `fit` method receives the configuration dictionary through the `config` parameter and can then read values from this dictionary. In this example, it reads `server_round` and `local_epochs` and uses those values to improve the logging and configure the number of local training epochs:"
]
},
{
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