In order to understand the output of .create_tf_dataset_from_all_clients, and like the official link say : Creates a new tf.data.Dataset containing all client
I work with TFF, here is a part of my code : def create_keras_model(): baseModel = tf.keras.applications.ResNet50(include_top=False, weights=None, inpu
I work with TFF, here is a part of my code : def create_keras_model(): baseModel = tf.keras.applications.ResNet50(include_top=False, weights=None, inpu
I have selected this dataset: https://www.kaggle.com/karangadiya/fifa19 Now, I would like to convert this CSV file into the federated dataset to fit in the mod
I tried to implement federated learning based on the LSTM approach. def create_keras_model(): model = Sequential() model.add(LSTM(32, input_shape=(3,1))
I am trying to work on this example of Federated Learning. https://towardsdatascience.com/federated-learning-3097547f8ca3 I have installed the PySyft package bu