Index

_

__add__() (decent_bench.cost_functions.CostFunction method) (decent_bench.cost_functions.LinearRegressionCost method) (decent_bench.cost_functions.LogisticRegressionCost method) (decent_bench.cost_functions.QuadraticCost method) (decent_bench.cost_functions.SumCost method)

A

A (class in decent_bench.datasets) accelerated_gradient_descent() (in module decent_bench.centralized_algorithms) ADMM (class in decent_bench.distributed_algorithms) advance_progress_bar() (decent_bench.utils.progress_bar.ProgressBarController method) Agent (class in decent_bench.agent) agent_activation_schemes (decent_bench.benchmark_problem.BenchmarkProblem attribute) AgentActivationScheme (class in decent_bench.schemes)

AgentMetricsView (class in decent_bench.agent) alpha (decent_bench.distributed_algorithms.ADMM attribute) AlwaysActive (class in decent_bench.schemes) asymptotic_convergence_rate_and_order() (in module decent_bench.metrics.metric_utils) AsymptoticConvergenceOrder (class in decent_bench.metrics.table_metrics) AsymptoticConvergenceRate (class in decent_bench.metrics.table_metrics) aux_vars (decent_bench.agent.Agent property)

B

b (class in decent_bench.datasets) benchmark() (in module decent_bench.benchmark)

BenchmarkProblem (class in decent_bench.benchmark_problem) broadcast() (decent_bench.network.Network method)

C

compress() (decent_bench.schemes.CompressionScheme method) (decent_bench.schemes.NoCompression method) (decent_bench.schemes.Quantization method) compression_scheme (decent_bench.benchmark_problem.BenchmarkProblem attribute) CompressionScheme (class in decent_bench.schemes)

cost_function (decent_bench.agent.Agent property) (decent_bench.agent.AgentMetricsView attribute) cost_functions (decent_bench.benchmark_problem.BenchmarkProblem attribute) CostFunction (class in decent_bench.cost_functions) create_distributed_network() (in module decent_bench.network) create_regression_problem() (in module decent_bench.benchmark_problem)

D

Dataset (class in decent_bench.datasets) DatasetPartition (class in decent_bench.datasets) decent_bench module decent_bench.agent module decent_bench.benchmark module decent_bench.benchmark_problem module decent_bench.centralized_algorithms module decent_bench.cost_functions module decent_bench.datasets module decent_bench.distributed_algorithms module decent_bench.metrics module decent_bench.metrics.metric_utils module decent_bench.metrics.plot_metrics module decent_bench.metrics.table_metrics module decent_bench.network module decent_bench.schemes module decent_bench.utils module

decent_bench.utils.logger module decent_bench.utils.progress_bar module DEFAULT_PLOT_METRICS (in module decent_bench.metrics.plot_metrics) DEFAULT_TABLE_METRICS (in module decent_bench.metrics.table_metrics) description (decent_bench.metrics.table_metrics.AsymptoticConvergenceOrder attribute) (decent_bench.metrics.table_metrics.AsymptoticConvergenceRate attribute) (decent_bench.metrics.table_metrics.GlobalCostError attribute) (decent_bench.metrics.table_metrics.GlobalGradientOptimality attribute) (decent_bench.metrics.table_metrics.IterativeConvergenceOrder attribute) (decent_bench.metrics.table_metrics.IterativeConvergenceRate attribute) (decent_bench.metrics.table_metrics.NrEvaluateCalls attribute) (decent_bench.metrics.table_metrics.NrGradientCalls attribute) (decent_bench.metrics.table_metrics.NrHessianCalls attribute) (decent_bench.metrics.table_metrics.NrProximalCalls attribute) (decent_bench.metrics.table_metrics.NrReceivedMessages attribute) (decent_bench.metrics.table_metrics.NrSentMessages attribute) (decent_bench.metrics.table_metrics.NrSentMessagesDropped attribute) (decent_bench.metrics.table_metrics.NrXUpdates attribute) (decent_bench.metrics.table_metrics.TableMetric property) (decent_bench.metrics.table_metrics.XError attribute) DGD (class in decent_bench.distributed_algorithms) domain_shape (decent_bench.cost_functions.CostFunction property) (decent_bench.cost_functions.LinearRegressionCost property) (decent_bench.cost_functions.LogisticRegressionCost property) (decent_bench.cost_functions.QuadraticCost property) (decent_bench.cost_functions.SumCost property) drop_scheme (decent_bench.benchmark_problem.BenchmarkProblem attribute) DropScheme (class in decent_bench.schemes) DstAlgorithm (class in decent_bench.distributed_algorithms)

E

evaluate() (decent_bench.cost_functions.CostFunction method) (decent_bench.cost_functions.LinearRegressionCost method) (decent_bench.cost_functions.LogisticRegressionCost method) (decent_bench.cost_functions.QuadraticCost method) (decent_bench.cost_functions.SumCost method)

F

from_agent() (decent_bench.agent.AgentMetricsView static method)

G

GaussianNoise (class in decent_bench.schemes) get() (decent_bench.utils.logger.LogQueue method) get_active_agents() (decent_bench.network.Network method) get_all_agents() (decent_bench.network.Network method) get_data_from_trial() (decent_bench.metrics.plot_metrics.GlobalCostErrorPerIteration method) (decent_bench.metrics.plot_metrics.GlobalGradientOptimalityPerIteration method) (decent_bench.metrics.plot_metrics.PlotMetric method) (decent_bench.metrics.table_metrics.AsymptoticConvergenceOrder method) (decent_bench.metrics.table_metrics.AsymptoticConvergenceRate method) (decent_bench.metrics.table_metrics.GlobalCostError method) (decent_bench.metrics.table_metrics.GlobalGradientOptimality method) (decent_bench.metrics.table_metrics.IterativeConvergenceOrder method) (decent_bench.metrics.table_metrics.IterativeConvergenceRate method) (decent_bench.metrics.table_metrics.NrEvaluateCalls method) (decent_bench.metrics.table_metrics.NrGradientCalls method) (decent_bench.metrics.table_metrics.NrHessianCalls method) (decent_bench.metrics.table_metrics.NrProximalCalls method) (decent_bench.metrics.table_metrics.NrReceivedMessages method) (decent_bench.metrics.table_metrics.NrSentMessages method) (decent_bench.metrics.table_metrics.NrSentMessagesDropped method) (decent_bench.metrics.table_metrics.NrXUpdates method) (decent_bench.metrics.table_metrics.TableMetric method) (decent_bench.metrics.table_metrics.XError method)

get_neighbors() (decent_bench.network.Network method) get_training_partitions() (decent_bench.datasets.Dataset method) (decent_bench.datasets.SyntheticClassificationData method) global_cost_error_at_iter() (in module decent_bench.metrics.metric_utils) global_gradient_optimality_at_iter() (in module decent_bench.metrics.metric_utils) GlobalCostError (class in decent_bench.metrics.table_metrics) GlobalCostErrorPerIteration (class in decent_bench.metrics.plot_metrics) GlobalGradientOptimality (class in decent_bench.metrics.table_metrics) GlobalGradientOptimalityPerIteration (class in decent_bench.metrics.plot_metrics) gradient() (decent_bench.cost_functions.CostFunction method) (decent_bench.cost_functions.LinearRegressionCost method) (decent_bench.cost_functions.LogisticRegressionCost method) (decent_bench.cost_functions.QuadraticCost method) (decent_bench.cost_functions.SumCost method) gradient_descent() (in module decent_bench.centralized_algorithms) GT1 (class in decent_bench.distributed_algorithms) GT2 (class in decent_bench.distributed_algorithms)

H

hessian() (decent_bench.cost_functions.CostFunction method) (decent_bench.cost_functions.LinearRegressionCost method) (decent_bench.cost_functions.LogisticRegressionCost method) (decent_bench.cost_functions.QuadraticCost method) (decent_bench.cost_functions.SumCost method)

I

id (decent_bench.agent.Agent property) initialize() (decent_bench.agent.Agent method) is_active() (decent_bench.schemes.AgentActivationScheme method) (decent_bench.schemes.AlwaysActive method) (decent_bench.schemes.UniformActivationRate method) iterations (decent_bench.distributed_algorithms.ADMM attribute) (decent_bench.distributed_algorithms.DGD attribute) (decent_bench.distributed_algorithms.GT1 attribute) (decent_bench.distributed_algorithms.GT2 attribute)

iterative_convergence_rate_and_order() (in module decent_bench.metrics.metric_utils) IterativeConvergenceOrder (class in decent_bench.metrics.table_metrics) IterativeConvergenceRate (class in decent_bench.metrics.table_metrics)

L

LinearRegressionCost (class in decent_bench.cost_functions) LOGGER (in module decent_bench.utils.logger)

LogisticRegressionCost (class in decent_bench.cost_functions) LogQueue (class in decent_bench.utils.logger)

M

m_cvx (decent_bench.cost_functions.CostFunction property) (decent_bench.cost_functions.LinearRegressionCost property) (decent_bench.cost_functions.LogisticRegressionCost property) (decent_bench.cost_functions.QuadraticCost property) (decent_bench.cost_functions.SumCost property) m_smooth (decent_bench.cost_functions.CostFunction property) (decent_bench.cost_functions.LinearRegressionCost property) (decent_bench.cost_functions.LogisticRegressionCost property) (decent_bench.cost_functions.QuadraticCost property) (decent_bench.cost_functions.SumCost property) make_noise() (decent_bench.schemes.GaussianNoise method) (decent_bench.schemes.NoiseScheme method) (decent_bench.schemes.NoNoise method) mean_x() (in module decent_bench.metrics.metric_utils) metropolis_weights (decent_bench.network.Network property) module decent_bench decent_bench.agent decent_bench.benchmark decent_bench.benchmark_problem decent_bench.centralized_algorithms decent_bench.cost_functions decent_bench.datasets decent_bench.distributed_algorithms decent_bench.metrics decent_bench.metrics.metric_utils decent_bench.metrics.plot_metrics decent_bench.metrics.table_metrics decent_bench.network decent_bench.schemes decent_bench.utils decent_bench.utils.logger decent_bench.utils.progress_bar

N

n_evaluate_calls (decent_bench.agent.AgentMetricsView attribute) n_gradient_calls (decent_bench.agent.AgentMetricsView attribute) n_hessian_calls (decent_bench.agent.AgentMetricsView attribute) n_proximal_calls (decent_bench.agent.AgentMetricsView attribute) n_received_messages (decent_bench.agent.AgentMetricsView attribute) n_sent_messages (decent_bench.agent.AgentMetricsView attribute) n_sent_messages_dropped (decent_bench.agent.AgentMetricsView attribute) name (decent_bench.distributed_algorithms.ADMM attribute) (decent_bench.distributed_algorithms.DGD attribute) (decent_bench.distributed_algorithms.DstAlgorithm property) (decent_bench.distributed_algorithms.GT1 attribute) (decent_bench.distributed_algorithms.GT2 attribute) Network (class in decent_bench.network)

NoCompression (class in decent_bench.schemes) NoDrops (class in decent_bench.schemes) noise_scheme (decent_bench.benchmark_problem.BenchmarkProblem attribute) NoiseScheme (class in decent_bench.schemes) NoNoise (class in decent_bench.schemes) NrEvaluateCalls (class in decent_bench.metrics.table_metrics) NrGradientCalls (class in decent_bench.metrics.table_metrics) NrHessianCalls (class in decent_bench.metrics.table_metrics) NrProximalCalls (class in decent_bench.metrics.table_metrics) NrReceivedMessages (class in decent_bench.metrics.table_metrics) NrSentMessages (class in decent_bench.metrics.table_metrics) NrSentMessagesDropped (class in decent_bench.metrics.table_metrics) NrXUpdates (class in decent_bench.metrics.table_metrics)

O

optimal_x (decent_bench.benchmark_problem.BenchmarkProblem attribute)

P

plot() (in module decent_bench.metrics.plot_metrics) PlotMetric (class in decent_bench.metrics.plot_metrics) ProgressBarController (class in decent_bench.utils.progress_bar) proximal() (decent_bench.cost_functions.CostFunction method) (decent_bench.cost_functions.LinearRegressionCost method) (decent_bench.cost_functions.LogisticRegressionCost method) (decent_bench.cost_functions.QuadraticCost method) (decent_bench.cost_functions.SumCost method)

proximal_solver() (in module decent_bench.centralized_algorithms) put_nowait() (decent_bench.utils.logger.LogQueue method)

Q

QuadraticCost (class in decent_bench.cost_functions)

Quantization (class in decent_bench.schemes)

R

receive() (decent_bench.network.Network method) receive_all() (decent_bench.network.Network method) received_messages (decent_bench.agent.Agent property) rho (decent_bench.distributed_algorithms.ADMM attribute)

run() (decent_bench.distributed_algorithms.ADMM method) (decent_bench.distributed_algorithms.DGD method) (decent_bench.distributed_algorithms.DstAlgorithm method) (decent_bench.distributed_algorithms.GT1 method) (decent_bench.distributed_algorithms.GT2 method)

S

send() (decent_bench.network.Network method) should_drop() (decent_bench.schemes.DropScheme method) (decent_bench.schemes.NoDrops method) (decent_bench.schemes.UniformDropRate method) single() (in module decent_bench.metrics.metric_utils) start_log_listener() (in module decent_bench.utils.logger)

start_progress_bar() (decent_bench.utils.progress_bar.ProgressBarController method) start_queue_logger() (in module decent_bench.utils.logger) step_size (decent_bench.distributed_algorithms.DGD attribute) (decent_bench.distributed_algorithms.GT1 attribute) (decent_bench.distributed_algorithms.GT2 attribute) SumCost (class in decent_bench.cost_functions) SyntheticClassificationData (class in decent_bench.datasets)

T

TableMetric (class in decent_bench.metrics.table_metrics)

tabulate() (in module decent_bench.metrics.table_metrics) topology_structure (decent_bench.benchmark_problem.BenchmarkProblem attribute)

U

UniformActivationRate (class in decent_bench.schemes)

UniformDropRate (class in decent_bench.schemes)

X

x (decent_bench.agent.Agent property) x_error_per_iteration() (in module decent_bench.metrics.metric_utils) x_label (decent_bench.metrics.plot_metrics.GlobalCostErrorPerIteration attribute) (decent_bench.metrics.plot_metrics.GlobalGradientOptimalityPerIteration attribute) (decent_bench.metrics.plot_metrics.PlotMetric property)

x_per_iteration (decent_bench.agent.AgentMetricsView attribute) XError (class in decent_bench.metrics.table_metrics)

Y

y_label (decent_bench.metrics.plot_metrics.GlobalCostErrorPerIteration attribute) (decent_bench.metrics.plot_metrics.GlobalGradientOptimalityPerIteration attribute) (decent_bench.metrics.plot_metrics.PlotMetric property)