Index

_

__init__() (MEDfl.LearningManager.client.FlowerClient method) (MEDfl.LearningManager.federated_dataset.FederatedDataset method) (MEDfl.LearningManager.model.Model method) (MEDfl.LearningManager.plot.AccuracyLossPlotter method) (MEDfl.LearningManager.server.FlowerServer method) (MEDfl.LearningManager.strategy.Strategy method) (MEDfl.NetManager.dataset.DataSet method) (MEDfl.NetManager.flsetup.FLsetup method) (MEDfl.NetManager.network.Network method) (MEDfl.NetManager.node.Node method) (MEDfl.rw.server.FederatedServer method) (MEDfl.rw.server.TrackingClientManager method)

_fetch_and_log_hostname() (MEDfl.rw.server.TrackingClientManager method) _lazy_init_from_server_config() (MEDfl.rw.client.FlowerClient method)

A

accuracies (MEDfl.LearningManager.server.FlowerServer attribute) AccuracyLossPlotter (class in MEDfl.LearningManager.plot) add_node() (MEDfl.NetManager.network.Network method)

aggregate_eval_metrics() (in module MEDfl.rw.strategy) aggregate_fit_metrics() (in module MEDfl.rw.strategy) assign_dataset() (MEDfl.NetManager.node.Node method) auto_test() (MEDfl.LearningManager.flpipeline.FLpipeline method)

B

batch_size (MEDfl.rw.client.DPConfig attribute)

C

certificates (MEDfl.rw.server.FederatedServer attribute) check_dataset_compatibility() (MEDfl.NetManager.node.Node method) cid (MEDfl.LearningManager.client.FlowerClient attribute) client_fn() (MEDfl.LearningManager.server.FlowerServer method) client_properties (MEDfl.rw.server.TrackingClientManager attribute) connected_clients (MEDfl.rw.server.FederatedServer attribute) create() (MEDfl.LearningManager.federated_dataset.FederatedDataset method) (MEDfl.LearningManager.flpipeline.FLpipeline method) (MEDfl.NetManager.flsetup.FLsetup method) create_binary_classifier() (MEDfl.LearningManager.dynamicModal.DynamicModel static method) create_convolutional_neural_network() (MEDfl.LearningManager.dynamicModal.DynamicModel static method) create_dataloader_from_node() (MEDfl.NetManager.flsetup.FLsetup method) create_federated_dataset() (MEDfl.NetManager.flsetup.FLsetup method) create_linear_regressor() (MEDfl.LearningManager.dynamicModal.DynamicModel static method)

create_logistic_regressor() (MEDfl.LearningManager.dynamicModal.DynamicModel static method) create_lstm_network() (MEDfl.LearningManager.dynamicModal.DynamicModel static method) create_master_dataset() (MEDfl.NetManager.network.Network method) create_MEDfl_db() (in module MEDfl.LearningManager.utils) create_model() (MEDfl.LearningManager.dynamicModal.DynamicModel method) create_multiclass_classifier() (MEDfl.LearningManager.dynamicModal.DynamicModel static method) create_network() (MEDfl.NetManager.network.Network method) create_node() (MEDfl.NetManager.node.Node method) create_nodes_from_master_dataset() (MEDfl.NetManager.flsetup.FLsetup method) create_query() (in module MEDfl.LearningManager.flpipeline) create_recurrent_neural_network() (MEDfl.LearningManager.dynamicModal.DynamicModel static method) create_strategy() (MEDfl.LearningManager.strategy.Strategy method) (MEDfl.rw.strategy.Strategy method) criterion (MEDfl.LearningManager.model.Model attribute) custom_classification_report() (in module MEDfl.LearningManager.utils)

D

DataSet (class in MEDfl.NetManager.dataset) delete() (MEDfl.LearningManager.flpipeline.FLpipeline method) (MEDfl.NetManager.flsetup.FLsetup method) delete_dataset() (MEDfl.NetManager.dataset.DataSet method) delete_network() (MEDfl.NetManager.network.Network method)

delete_node() (MEDfl.NetManager.node.Node method) description (MEDfl.LearningManager.flpipeline.FLpipeline attribute) diff_priv (MEDfl.LearningManager.client.FlowerClient attribute) (MEDfl.LearningManager.server.FlowerServer attribute) DPConfig (class in MEDfl.rw.client) DynamicModel (class in MEDfl.LearningManager.dynamicModal)

E

empty_db() (in module MEDfl.LearningManager.utils) evaluate() (MEDfl.LearningManager.client.FlowerClient method) (MEDfl.LearningManager.model.Model method) (MEDfl.LearningManager.server.FlowerServer method) (MEDfl.rw.client.FlowerClient method)

F

fed_dataset (MEDfl.LearningManager.server.FlowerServer attribute) FederatedDataset (class in MEDfl.LearningManager.federated_dataset) FederatedServer (class in MEDfl.rw.server) fit() (MEDfl.LearningManager.client.FlowerClient method) (MEDfl.rw.client.FlowerClient method) flower_clients (MEDfl.LearningManager.server.FlowerServer attribute) FlowerClient (class in MEDfl.LearningManager.client) (class in MEDfl.rw.client)

FlowerServer (class in MEDfl.LearningManager.server) FLpipeline (class in MEDfl.LearningManager.flpipeline) FLsetup (class in MEDfl.NetManager.flsetup) forward() (MEDfl.rw.model.Net method) fraction_evaluate (MEDfl.LearningManager.strategy.Strategy attribute) fraction_fit (MEDfl.LearningManager.strategy.Strategy attribute)

G

get_dataset() (MEDfl.NetManager.node.Node method) get_feddataset_id_from_name() (in module MEDfl.NetManager.net_helper) get_flDataSet() (MEDfl.NetManager.flsetup.FLsetup method) get_flpipeline_from_name() (in module MEDfl.NetManager.net_helper) get_flsetupid_from_name() (in module MEDfl.NetManager.net_helper) get_netid_from_name() (in module MEDfl.NetManager.net_helper) (MEDfl.NetManager.network.Network method) get_node_confusion_matrix() (in module MEDfl.LearningManager.utils) get_nodeid_from_name() (in module MEDfl.NetManager.net_helper)

get_parameters() (MEDfl.LearningManager.client.FlowerClient method) (MEDfl.LearningManager.model.Model method) (MEDfl.rw.client.FlowerClient method) get_pipeline_confusion_matrix() (in module MEDfl.LearningManager.utils) get_pipeline_from_name() (in module MEDfl.LearningManager.utils) get_pipeline_result() (in module MEDfl.LearningManager.utils) get_properties() (MEDfl.rw.client.FlowerClient method) get_strategy_by_name() (MEDfl.LearningManager.strategy.Strategy method) global_model (MEDfl.LearningManager.server.FlowerServer attribute)

I

initial_parameters (MEDfl.LearningManager.strategy.Strategy attribute)

is_str() (in module MEDfl.NetManager.net_helper) iterations (MEDfl.LearningManager.plot.AccuracyLossPlotter attribute)

L

list_alldatasets() (MEDfl.NetManager.dataset.DataSet static method) (MEDfl.NetManager.node.Node method) list_allnetworks() (MEDfl.NetManager.network.Network static method) list_allnodes() (MEDfl.NetManager.network.Network method) (MEDfl.NetManager.node.Node static method)

list_allsetups() (MEDfl.NetManager.flsetup.FLsetup static method) load_db_config() (in module MEDfl.LearningManager.utils) load_db_config_dep() (in module MEDfl.LearningManager.utils) load_model() (MEDfl.LearningManager.model.Model static method) local_model (MEDfl.LearningManager.client.FlowerClient attribute) losses (MEDfl.LearningManager.server.FlowerServer attribute)

M

master_table_exists() (in module MEDfl.NetManager.net_helper) max_grad_norm (MEDfl.rw.client.DPConfig attribute) MEDfl module MEDfl.LearningManager module MEDfl.LearningManager.client module MEDfl.LearningManager.dynamicModal module MEDfl.LearningManager.federated_dataset module MEDfl.LearningManager.flpipeline module MEDfl.LearningManager.model module MEDfl.LearningManager.plot module MEDfl.LearningManager.server module MEDfl.LearningManager.strategy module MEDfl.LearningManager.utils module MEDfl.NetManager module MEDfl.NetManager.dataset module MEDfl.NetManager.flsetup module MEDfl.NetManager.net_helper module MEDfl.NetManager.net_manager_queries module MEDfl.NetManager.network module MEDfl.NetManager.node module MEDfl.rw module

MEDfl.rw.client module MEDfl.rw.model module MEDfl.rw.server module MEDfl.rw.strategy module metrics (MEDfl.LearningManager.plot.AccuracyLossPlotter attribute) min_available_clients (MEDfl.LearningManager.strategy.Strategy attribute) min_evaluate_clients (MEDfl.LearningManager.strategy.Strategy attribute) min_fit_clients (MEDfl.LearningManager.strategy.Strategy attribute) Model (class in MEDfl.LearningManager.model) model (MEDfl.LearningManager.model.Model attribute) module MEDfl MEDfl.LearningManager MEDfl.LearningManager.client MEDfl.LearningManager.dynamicModal MEDfl.LearningManager.federated_dataset MEDfl.LearningManager.flpipeline MEDfl.LearningManager.model MEDfl.LearningManager.plot MEDfl.LearningManager.server MEDfl.LearningManager.strategy MEDfl.LearningManager.utils MEDfl.NetManager MEDfl.NetManager.dataset MEDfl.NetManager.flsetup MEDfl.NetManager.net_helper MEDfl.NetManager.net_manager_queries MEDfl.NetManager.network MEDfl.NetManager.node MEDfl.rw MEDfl.rw.client MEDfl.rw.model MEDfl.rw.server MEDfl.rw.strategy mtable_exists (MEDfl.NetManager.network.Network attribute)

N

name (MEDfl.LearningManager.flpipeline.FLpipeline attribute) (MEDfl.LearningManager.strategy.Strategy attribute) (MEDfl.NetManager.network.Network attribute) (MEDfl.NetManager.node.Node attribute) Net (class in MEDfl.rw.model)

Network (class in MEDfl.NetManager.network) Node (class in MEDfl.NetManager.node) noise_multiplier (MEDfl.rw.client.DPConfig attribute) num_clients (MEDfl.LearningManager.server.FlowerServer attribute) num_rounds (MEDfl.LearningManager.server.FlowerServer attribute)

O

optimizer (MEDfl.LearningManager.model.Model attribute)

optuna_fed_optimization() (MEDfl.LearningManager.strategy.Strategy method)

P

parameters (MEDfl.LearningManager.plot.AccuracyLossPlotter attribute) plot_accuracy_loss() (MEDfl.LearningManager.plot.AccuracyLossPlotter method) plot_classification_report() (MEDfl.LearningManager.plot.AccuracyLossPlotter static method) plot_confusion_Matrix_by_node() (MEDfl.LearningManager.plot.AccuracyLossPlotter static method)

plot_global_confusion_matrix() (MEDfl.LearningManager.plot.AccuracyLossPlotter static method) predict() (MEDfl.rw.model.Net method) process_data_after_reading() (in module MEDfl.NetManager.net_helper) process_eicu() (in module MEDfl.NetManager.net_helper)

R

read_setup() (MEDfl.NetManager.flsetup.FLsetup class method) register() (MEDfl.rw.server.TrackingClientManager method)

results_dict (in module MEDfl.LearningManager.plot) (MEDfl.LearningManager.plot.AccuracyLossPlotter attribute) run() (MEDfl.LearningManager.server.FlowerServer method)

S

save_model() (MEDfl.LearningManager.model.Model static method) secure_rng (MEDfl.rw.client.DPConfig attribute) server (MEDfl.LearningManager.flpipeline.FLpipeline attribute) (MEDfl.rw.server.TrackingClientManager attribute) server_address (MEDfl.rw.server.FederatedServer attribute) server_config (MEDfl.rw.server.FederatedServer attribute) set_db_config() (in module MEDfl.LearningManager.utils) set_db_config_dep() (in module MEDfl.LearningManager.utils)

set_parameters() (MEDfl.LearningManager.model.Model method) (MEDfl.rw.client.FlowerClient method) start() (MEDfl.rw.client.FlowerClient method) (MEDfl.rw.server.FederatedServer method), [1] Strategy (class in MEDfl.LearningManager.strategy) (class in MEDfl.rw.strategy) strategy (MEDfl.LearningManager.server.FlowerServer attribute) (MEDfl.rw.server.FederatedServer attribute) strategy_wrapper (MEDfl.rw.server.FederatedServer attribute)

T

test() (in module MEDfl.LearningManager.utils) test_by_node() (MEDfl.LearningManager.flpipeline.FLpipeline method) test_fraction (MEDfl.NetManager.node.Node attribute) TrackingClientManager (class in MEDfl.rw.server)

train (MEDfl.NetManager.node.Node attribute) train() (MEDfl.LearningManager.model.Model method) training (MEDfl.rw.model.Net attribute) trainloader (MEDfl.LearningManager.client.FlowerClient attribute)

U

unassign_dataset() (MEDfl.NetManager.node.Node method) update() (MEDfl.LearningManager.federated_dataset.FederatedDataset method) update_data() (MEDfl.NetManager.dataset.DataSet method) update_network() (MEDfl.NetManager.network.Network method)

update_node() (MEDfl.NetManager.node.Node method) upload_dataset() (MEDfl.NetManager.dataset.DataSet method) (MEDfl.NetManager.node.Node method) use_network() (MEDfl.NetManager.network.Network method)

V

validate() (MEDfl.LearningManager.client.FlowerClient method) (MEDfl.LearningManager.flpipeline.FLpipeline method) (MEDfl.LearningManager.model.Model method) (MEDfl.LearningManager.server.FlowerServer method) (MEDfl.NetManager.dataset.DataSet method) (MEDfl.NetManager.flsetup.FLsetup method) (MEDfl.NetManager.network.Network method) (MEDfl.NetManager.node.Node method)

valloader (MEDfl.LearningManager.client.FlowerClient attribute)