Assisting an analytics training function to select a machine learning model in a wireless communication network
AssigneeLenovo (Singapore) Pte. Ltd.
InventorsKonstantinos SAMDANIS, Emmanouil PATEROMICHELAKIS, Dimitrios KARAMPATSIS
Life of this patent
Estimating the term…
Abstract
There is provided a method in an apparatus for wireless communication. The method comprising determining, if training is required for a first machine learning, ML, model; and then determining, whether to: train the first ML model using data from at least one online data source, or to select and retrieve from a first repository function, a second ML model, and to use the second ML model to replace the first ML model for performing the training.
Claims22
An apparatus for wireless communication, comprising:
- at least one memory;
- and
- at least one processor coupled with the at least one memory and configured to cause the apparatus to:
- train a first machine learning (ML) model using data from at least one online data source;
- or
- select and retrieve, from a first repository function, a second ML model, and use the second ML model to replace the first ML model for performing the training.
An apparatus for wireless communication, comprising:
- at least one memory;
- and
- at least one processor coupled with the at least one memory and configured to cause the apparatus to:
- receive, from an analytics training function, a machine learning (ML) model update, the ML model update comprising an updated ML model and an associated ML model identifier, ML model profile, ML model profile category, or ML model information;
- determine, based on the ML model update, at least one other analytics training function that is subscribed to the apparatus to receive ML model updates for the ML model identifier, the ML model profile, the ML model profile category, or the ML model information;
- and
- transmit, to the at least one other analytics training function, the ML model update.
-20. (canceled)
A method in an apparatus for wireless communication, the method comprising:
- training a first machine learning (ML) model using data from at least one online data source, or
- selecting and retrieving from a first repository function, a second ML model, and using the second ML model to replace the first ML model for performing the training.
-30. (canceled)
A method in an apparatus for wireless communication, comprising:
- receiving, from an analytics training function, a machine learning (ML) model update, the ML model update comprising an updated ML model, an associated ML model identifier, a ML model profile, a ML model category, or a ML model information;
- determining, based on the ML model update, at least one other analytics training function subscribed to the apparatus to receive ML model updates for the ML model identifier, the ML model profile, the ML model category, or the ML model information;
- and
- transmitting, to the at least one other analytics training function, the ML model update.
Dependencies are inferred from the claim text.