types

Useful types for Federated Learning.

Classes

AggregatorType

class AggregatorType(    value, names=None, *, module=None, qualname=None, type=None, start=1,):

Available aggregator names from bitfount.federated.aggregator.

Ancestors

• enum.Enum

Variables

• static Aggregator

• static SecureAggregator

AlgorithmType

class AlgorithmType(value, names=None, *, module=None, qualname=None, type=None, start=1):

Available algorithm names from bitfount.federated.algorithm.

Ancestors

• enum.Enum

Variables

• static ColumnAverage

• static ComputeIntersectionRSA

• static FederatedModelTraining

• static ModelEvaluation

• static ModelTrainingAndEvaluation

• static PrivateSqlQuery

• static SqlQuery

ProtocolType

class ProtocolType(value, names=None, *, module=None, qualname=None, type=None, start=1):

Available protocol names from bitfount.federated.protocol.

Ancestors

• enum.Enum

Variables

• static FederatedAveraging

• static PrivateSetIntersection

• static ResultsOnly

SerializedAggregator

class SerializedAggregator(*args, **kwargs):

Serialized representation of an aggregator.

Ancestors

• builtins.dict

Variables

• static class_name : str

SerializedAlgorithm

class SerializedAlgorithm(*args, **kwargs):

Serialized representation of an algorithm.

Ancestors

• builtins.dict

Variables

• static class_name : str

• static model : typing_extensions.NotRequired[SerializedModel]

SerializedModel

class SerializedModel(*args, **kwargs):

Serialized representation of a model.

Ancestors

• builtins.dict

Variables

• static class_name : str

• static hub : NotRequired[Optional[BitfountHub]]

SerializedProtocol

class SerializedProtocol(*args, **kwargs):

Serialized representation of a protocol.

Ancestors

• builtins.dict

Variables

• static aggregator : typing_extensions.NotRequired[SerializedAggregator]

• static algorithm : SerializedAlgorithm

• static class_name : str

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