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Merge branch 'breast_density_fl_challenge' of github.com:holgerroth/tutorials into breast_density_fl_challenge
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federated_learning/breast_density_challenge/README.md

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@@ -22,7 +22,7 @@ We provide a set of random data splits. Please download them using
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python3 ./code/pt/utils/download_datalists_and_predictions.py
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```
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After download, they will be available as `./data/dataset_blinded_site-*.json` which follows the same format as what
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will be used in the challenge.
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will be used in the challenge.
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Please do not modify the data list filenames in the configs as they will be the same during the challenge.
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Note, the location of the dataset and data lists will be given by the system.
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### 3.5 Results
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Results will need to be written to `/result/predictions.json`.
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Please follow the format produced by the reference implementation at [./result_server_example/predictions.json](./result_server_example/predictions.json)
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Please follow the format produced by the reference implementation at [./result_server_example/predictions.json](./result_server_example/predictions.json)
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(available after running `python3 ./code/pt/utils/download_datalists_and_predictions.py`)
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The code is expected to return a json file containing at least list of image names and prediction probabilities for each breast density class
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for the global model (should be named `SRV_best_FL_global_model.pt`).

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