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federated_learning/breast_density_challenge/README.md

@@ -22,7 +22,7 @@ We provide a set of random data splits. Please download them using
 python3 ./code/pt/utils/download_datalists_and_predictions.py
 ```
 After download, they will be available as `./data/dataset_blinded_site-*.json` which follows the same format as what
-will be used in the challenge. 
+will be used in the challenge.
 Please do not modify the data list filenames in the configs as they will be the same during the challenge.
 
 Note, the location of the dataset and data lists will be given by the system.
@@ -140,7 +140,7 @@ Your FL framework will also need those ports for implementing the communication.
 
 ### 3.5 Results
 Results will need to be written to `/result/predictions.json`.
-Please follow the format produced by the reference implementation at [./result_server_example/predictions.json](./result_server_example/predictions.json) 
+Please follow the format produced by the reference implementation at [./result_server_example/predictions.json](./result_server_example/predictions.json)
 (available after running `python3 ./code/pt/utils/download_datalists_and_predictions.py`)
 The code is expected to return a json file containing at least list of image names and prediction probabilities for each breast density class
 for the global model (should be named `SRV_best_FL_global_model.pt`).