Getting started
Installation
Documentation
Configuration File
Tutorials
Introduction
Database management
NetManager
Transfer Learning
Learning Manager
Learning Results
Model choice
Contents:
Medfl
MEDfl
Index
Index
_
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A
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C
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D
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E
|
F
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G
|
I
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L
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M
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N
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O
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P
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R
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S
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T
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U
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V
_
__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)
A
accuracies (Medfl.LearningManager.server.FlowerServer attribute)
AccuracyLossPlotter (class in Medfl.LearningManager.plot)
add_node() (Medfl.NetManager.network.Network method)
assign_dataset() (Medfl.NetManager.node.Node method)
auto_test() (Medfl.LearningManager.flpipeline.FLpipeline method)
C
check_dataset_compatibility() (Medfl.NetManager.node.Node method)
cid (Medfl.LearningManager.client.FlowerClient attribute)
client_fn() (Medfl.LearningManager.server.FlowerServer method)
context (Medfl.LearningManager.client.FlowerClient 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_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)
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)
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)
F
fed_dataset (Medfl.LearningManager.server.FlowerServer attribute)
FederatedDataset (class in Medfl.LearningManager.federated_dataset)
fit() (Medfl.LearningManager.client.FlowerClient method)
flower_clients (Medfl.LearningManager.server.FlowerServer attribute)
FlowerClient (class in Medfl.LearningManager.client)
FlowerServer (class in Medfl.LearningManager.server)
FLpipeline (class in Medfl.LearningManager.flpipeline)
FLsetup (class in Medfl.NetManager.flsetup)
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)
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)
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)
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_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)
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
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
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)
Network (class in Medfl.NetManager.network)
Node (class in Medfl.NetManager.node)
num_clients (Medfl.LearningManager.server.FlowerServer attribute)
num_rounds (Medfl.LearningManager.server.FlowerServer attribute)
O
optimizer (Medfl.LearningManager.model.Model attribute)
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)
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)
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)
server (Medfl.LearningManager.flpipeline.FLpipeline attribute)
set_parameters() (Medfl.LearningManager.model.Model method)
Strategy (class in Medfl.LearningManager.strategy)
strategy (Medfl.LearningManager.server.FlowerServer attribute)
T
test() (in module Medfl.LearningManager.utils)
test_by_node() (Medfl.LearningManager.flpipeline.FLpipeline method)
test_fraction (Medfl.NetManager.node.Node attribute)
train (Medfl.NetManager.node.Node attribute)
train() (Medfl.LearningManager.model.Model method)
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)