Abstract: This application provides a model training method and apparatus. The method includes: obtaining first capability information and second capability information of a client; determining, based on the first capability information and the second capability information, that the client reports model information to a cloud server or an edge server; and sending first indication information to the client. The first indication information indicates the client to report the model information to the cloud server or the edge server. According to the model training method and apparatus provided in this application, in a horizontal federated training method in a hybrid mode, a manner of reporting local model information by the client may be flexibly selected based on capability information of the client, so that horizontal federated training efficiency can be improved.

Abstract: A communication method includes sending, by a first data analytics network element, a first request to a service discovery network element. The first request requests information about a second data analytics network element. The first request includes one or more of information about distributed learning or first indication information. The information about distributed learning includes a type of distributed learning. The first indication information indicates a type of the second data analytics network element. The method also includes receiving, by the first data analytics network element, information about the second data analytics network element from the service discovery network element. The second data analytics network element supports the type of distributed learning.

Abstract: A session management method, an access management function device, and a session management device, where the method is carried out by an access and mobility management network element and includes: obtaining first subscription data of a terminal in a first communications network and second subscription data of the terminal in a second communications network, where the first subscription data includes a data network name (DNN), and the second subscription data includes an access point name (APN) corresponding to the DNN; allocating a bearer identifier to a bearer in a packet data network (PDN) connection corresponding to the APN; receiving a flow identifier that is of a flow in a protocol data unit (PDU) session corresponding to the DNN and that is sent by a session management network element; and sending the bearer identifier and the flow identifier to the terminal.

Abstract: The present invention relates to performing mobile network configurations or changes. The invention presents a first device for performing the mobile network configuration or change, and a second device for generating feedback for supporting the mobile network configuration or change. The first device is configured to send a support request to the second device, wherein the support request specifies a reusable or specific feedback type and a target information. The second device is configured to send reusable or specific feedback about the target information in response to the support request. The first device is then configured to determine a configuration or change of the mobile network based on the reusable or specific feedback. The reusable feedback includes a value or set of values of the target information and at least one coordination parameter indicating how the reusable feedback is to be used by multiple second devices.

Abstract: A method for processing a data channel application list includes obtaining, by a core network device, first data channel capability information of a first terminal device; obtaining, by the core network device, second data channel capability information of a second terminal device; and generating, by the core network device, a data channel application list based on the first data channel capability information and the second data channel capability information.

Abstract: A communication method includes sending, by a first terminal, description information of a target application to a second terminal; receiving, by the first terminal, response information sent by the second terminal, where the response information is determined by the second terminal based on the description information of the target application; and determining, by the first terminal based on the response information, whether to communicate with the second terminal through the target application.

Abstract: Provided are a model obtaining method and a communication device. The method includes: sending, by a first communication device, a first request to a second communication device, where the first request is used to request to obtain information of at least one third communication device, and each third communication device is able to provide model information of at least one model required by the first communication device; receiving, by the first communication device, information of at least one third communication device that is sent by the second communication device; and obtaining, by the first communication device, model information of a plurality of models based on the information of the at least one third communication device, where the plurality of models are used to derive data analytics result information.

Abstract: A data processing method includes sending, by a terminal, a seventh message, where the seventh message is used to request establishment of a second data channel, where the seventh message carries fourth information, and the fourth information is used to request or indicate establishment of an indirect data channel or establishment of a data channel in which a network-side device participates; receiving, by the terminal, an eighth message; and establishing, by the terminal, the second data channel based on the eighth message.

Abstract: Embodiments of this application disclose a communication method and a communication apparatus, to identify application information of first data, and improve an application analytics success rate. The method includes: A first data analytics network element receives first information of an application from a first network element, where the first information includes first application description information and/or an application status that correspond/corresponds to the application, the first application description information includes an application identifier and first IP information that correspond to the application, and the application status includes a foreground state or a background state of the application; the first data analytics network element determines second information based on the first information; and the first data analytics network element sends the second information to a second network element.

Abstract: Embodiments of this application provide a terminal information processing method for determining exception information of a terminal. The method includes: obtaining, by a data analytics network element, data of a first terminal on an application function network element, where the data includes exception information of the first terminal; obtaining, by the data analytics network element, first terminal information of the first terminal on one or more network elements; and determining, by the data analytics network element, exception information of a second terminal based on the exception information of the first terminal and the first terminal information.

Abstract: The disclosure relates to a network entity for determining at least one model parameter of a model for digitally analyzing input data depending on the at least one model parameter of a model, the network entity being configured to receive a model request from a requesting entity over the communication network, the model request requesting the at least one model parameter of the model, to obtain the requested at least one model parameter by at least one of the following: executing a machine-learning model training algorithm, the machine-learning model training algorithm being configured to train the model with input data in order to determine at least one of the requested model parameter; searching a local data base for an existing model; or requesting the at least one model parameter from a further network entity; and to send the requested model parameter towards the requesting entity over the communication network.

Abstract: A data processing method and an apparatus relate to the communication field. The data processing method includes: A first network data analytics network element determines identification information of one or more submodels related to a target model. The first network data analytics network element sends the identification information of the submodel to a network element corresponding to the identification information of the submodel. The first network data analytics network element receives, from the network element, a value that reflects impact of the submodel on the target model, and performs training, to obtain the target model. The data processing method and apparatus provide functions such as accurate data collection, data analysis, and data training.

Abstract: A model accuracy determining method includes performing, by a first network element, inference on a task based on a first model; determining, by the first network element, first accuracy corresponding to the first model. The first accuracy is used to indicate accuracy of the first model on an inference result of the task; and in a case that the first accuracy reaches a preset condition, sending, by the first network element, first information to a second network element, where the first information is used to indicate that accuracy of the first model does not meet an accuracy requirement or decreases. The second network element is a network element that provides the first model.

Abstract: A method for processing data in a communication network includes determining, by a first network element, a first accuracy of a first model. The first accuracy is used for indicating accuracy of the first model in practical inference; and re-training the first model or re-selecting a second model, by the first network element, in a case that the first accuracy meets a preset condition.

Abstract: This application discloses a model accuracy determining method and apparatus, and a network-side device. A model accuracy determining method in an embodiment of this application includes: performing, by a first network element, inference for a task based on a first model; determining, by the first network element, first accuracy corresponding to the first model, where the first accuracy is used to indicate accuracy of an inference result of the task obtained by the first model; and in a case that the first accuracy meets a preset condition, sending, by the first network element, first information to a second network element, where the first information is used to indicate that accuracy of the first model does not meet an accuracy requirement or has decreased; where the second network element is a network element that triggers the task.

Abstract: A resource scheduling method for a network slice is provided, where a slice management network element sends a request to a data analysis network element. The request includes service experience requirement information of a first network slice. The slice management network element receives a response sent by the data analysis network element. The response includes information about a first area and/or information about a first time that are/is of the first network slice and that correspond/corresponds to the service experience requirement information. The slice management network element sends information about a second area and/or information about a second time to a network device based on the information about the first area and/or the information about the first time. The network device schedules a resource for the first network slice based on the information about the second area and/or the information about the second time.

Abstract: The present disclosure relates to performing mobile network configurations or changes. A first device is presented for performing the mobile network configuration or change, and a second device is presented for generating feedback for supporting the mobile network configuration or change. The first device is configured to send a support request to the second device, wherein the support request specifies a reusable or specific feedback type and a target information. The second device is configured to send reusable or specific feedback about the target information in response to the support request. The first device is then configured to determine a configuration or change of the mobile network based on the reusable or specific feedback. The reusable feedback includes a value or set of values of the target information and at least one coordination parameter indicating how the reusable feedback is to be used by multiple second devices.

Abstract: Disclosed are a multi-directional broadband tuned mass damper and a design method thereof, since a first damping structure and a second damping structure are set on a rigid vibration damping frame, and the first damping structure is provided with a control main frequency, the second damping structure is provided with two control main frequencies, the control main frequency of the second damping structure is greater than that of the first damping structure; under the synergistic effect, the second damping structure mainly effectively broadens the control range for high frequencies, and a plurality of first damping structures control the control main frequency of a low frequency one-to-one, thereby controlling the full frequency, and the extension direction of the first damping structure is the same as that of the second damping structure on the rigid vibration damping frame, ensuring isotropic mass and stiffness distribution characteristics thereof; and furthermore, when using different control frequency range

Abstract: A first entity for a communication network is provided. The first entity is configured to receive a feature mapping indication from a second entity of the communication network. The feature mapping indication comprises characteristics of a relationship between a set of data samples and properties of data in the data samples of the set of data samples for an analytics model at an analytics stage, wherein the feature mapping indication comprises a request for a feature mapping data structure. The feature mapping data structure includes a second set of data samples based on the relationship between the set of data samples and the properties of the data in the data samples of the set of data samples for use with the analytics model at the analytics stage for an analytics consumer.

Abstract: A communication method, a communication apparatus, and system are disclosed. The method includes a data analytics network element (NWDAF) sends a first request to a storage function network element. The first request includes delay information and/or indication information. The indication information indicates that the NWDAF supports analyzing data within a specified delay. The first request is used to store the delay information and/or the indication information into the storage function network element. The data analytics network element receives a first response from the storage function network element. The first response indicates, to the data analytics network element, that the delay information and/or the indication information are/is successfully stored.