tensorflow-federated-CodePudding

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08-17front endCustom accuracy in tff federated learning using keras.metric
07-21front endHow to explain "tff.to_type((tf.int64, [2]))"?
06-04Software engineeringUnbalanced client size in federated learning
06-02OSWhat version of Tensorflow federated has the module 'federated_computation'?
05-03NetAttributeError: 'MapDataset' object has no attribute 'preprocess' in tensorflow_
04-27databaseReproducibility, Controlling Randomness, Operator-level Randomness in TFF
04-14Back-endEpochs vs Rounds in federated learning
03-31NetTFF: evaluating the federated learning model and got a large increase of loss value
03-18EnterpriseValueError: Missing data for input "input_2". You passed a data dictionary with keys [
03-07Software engineeringmodule 'keras.api._v2.keras.experimental' has no attribute 'PeepholeLSTMCell' -
03-05othersplitting the data into training and testing in federated learning
03-03BlockchainTff: define the usage of Tensorflow.take() function
03-01databaseTFF: train_test_client_split to partition each client data
02-28Nettff.simulation.datasets.ClientData to build federated learning model from CSV files
02-28NetUsing create_tf_dataset_for_client() to define the training examples in the dataset
02-25MobileHow to solve "ValueError: Unable to unpack value [] as a tf.compat.v1.GraphDef"
02-19MobileHow to build federated learning model of unbalanced and small dataset
11-02Back-endTrraining submodel instead of full model Tensorflow Federated
10-21Back-endHow to implement custom encode Tensorflow Federated
10-21Back-endAccess and modify weights sent from client on the server tensorflow federated
10-20Software designTensorflow Federated object is not subscriptable
09-26Back-endTFF RuntimeError: Attempting to capture an EagerTensor without building a function