US 12,596,962 B2Granted

Data transmission using data prioritization

AssigneeTelefonaktiebolaget LM Ericsson (publ)

InventorsMats Folkesson, Bin Sun, Rafia Inam, Elena Fersman, Daniel Lindström

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Abstract

A method for providing data to a destination node connected to one or more source nodes via one or more networks. In one aspect, the method is performed by a feature identifier for selecting at least one feature from a set of features. The set of features comprises a first feature and a second feature. The method includes, for each feature included in the set of features, obtaining a value indicating a cost of providing the data set for the feature from a source node that stores the data set to a destination node that is connected to the source node via a network. The method also includes, based on the obtained values, selecting a subset of the set of features. The method further includes for each selected feature, initiating the transmission of the respective data set for the respective selected feature from a source node to the destination node. The destination node may execute a machine learning process that is operable to use the respective data sets to produce a model.

Claims13

Dependent claims

A method for providing data to a destination node connected to one or more source nodes via one or more networks, the method being performed by a feature identifier for selecting at least one feature from a set of features, the set of features comprising a first feature and a second feature, wherein

each feature included in the set of features is associated with a data set such that the first feature is associated with a first data set and the second feature is associated with a second data set,
the first data set associated with the first feature comprises values for the first feature,
the second data set associated with the second feature comprises values for the second feature, and
the method comprises:
for each feature included in the set of features, obtaining a cost value for the feature, the cost value indicating a cost of providing the data set associated with the feature from a source node that stores the data set to the destination node that is connected to the source node via a network;
for each feature included in the set of features, obtaining an importance value indicating an importance of the feature;
for each feature included in the set of features, calculating a priority value using the importance value for the feature and the cost value for the feature;
based on the calculated priority values, selecting a subset of the set of features;
and
for each selected feature, initiating the transmission of the respective data set associated with the respective selected feature from the source node that stores the respective data set associated with the respective selected feature to the destination node via the network that connects the destination node with the source node that stores the respective data set associated with the respective selected feature, wherein
the destination node is configured to execute a machine learning process that is operable to use the respective data sets to produce a model, and/or
the destination node is configured to execute a model generated by a machine learning process, and the model is operable to use the respective data sets to produce an inference.

9 more elements

An apparatus for providing data to a destination node connected to one or more source nodes via one or more networks and for selecting at least one feature from a set of features, the set of features comprising a first feature and a second feature, wherein

each feature included in the set of features is associated with a data set such that the first feature is associated with a first data and the second feature is associated with a second data set,
the first data set comprises values for the first feature,
the second data comprises values for the second feature, and
the apparatus including:
a memory;
and
processing circuitry, wherein the apparatus is configured to:
for each feature included in the set of features, obtain a cost value for the feature, the cost value indicating a cost of providing the data set associated with the feature from a source node that stores the data set to the destination node that is connected to the source node via a network;
for each feature included in the set of features, obtain an importance value indicating an importance of the feature;
for each feature included in the set of features, calculate a priority value using the importance value for the feature and the cost value for the feature;
based on the calculated priority values, select a subset of the set of features;
and
for each selected feature, initiate the transmission of the respective data set associated with the respective selected feature from the source node that stores the respective data set associated with the respective selected feature to the destination node via the network that connects the destination node with the source node that stores the respective data set associated with the respective selected feature, wherein the destination node is configured to:
execute a machine learning process that is operable to use the respective data sets to produce a model, and/or
execute a model generated by a machine learning process, and the model is operable to use the respective data sets to produce an inference.

12 more elements

Dependencies are inferred from the claim text.