MEDfl package
Subpackages
- MEDfl.LearningManager package
- Submodules
- MEDfl.LearningManager.client module
- MEDfl.LearningManager.dynamicModal module
DynamicModel
DynamicModel.create_binary_classifier()
DynamicModel.create_convolutional_neural_network()
DynamicModel.create_linear_regressor()
DynamicModel.create_logistic_regressor()
DynamicModel.create_lstm_network()
DynamicModel.create_model()
DynamicModel.create_multiclass_classifier()
DynamicModel.create_recurrent_neural_network()
- MEDfl.LearningManager.federated_dataset module
- MEDfl.LearningManager.flpipeline module
- MEDfl.LearningManager.model module
- MEDfl.LearningManager.plot module
AccuracyLossPlotter
AccuracyLossPlotter.results_dict
AccuracyLossPlotter.parameters
AccuracyLossPlotter.metrics
AccuracyLossPlotter.iterations
AccuracyLossPlotter.__init__()
AccuracyLossPlotter.plot_accuracy_loss()
AccuracyLossPlotter.plot_classification_report()
AccuracyLossPlotter.plot_confusion_Matrix_by_node()
AccuracyLossPlotter.plot_global_confusion_matrix()
results_dict
- MEDfl.LearningManager.server module
FlowerServer
FlowerServer.global_model
FlowerServer.strategy
FlowerServer.num_rounds
FlowerServer.num_clients
FlowerServer.fed_dataset
FlowerServer.diff_priv
FlowerServer.accuracies
FlowerServer.losses
FlowerServer.flower_clients
FlowerServer.__init__()
FlowerServer.client_fn()
FlowerServer.evaluate()
FlowerServer.run()
FlowerServer.validate()
- MEDfl.LearningManager.strategy module
- MEDfl.LearningManager.utils module
- Module contents
- MEDfl.NetManager package