A network entity for a communication network, the network being a 5G communication network, 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; 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 send the at least one requested model parameter or the model towards the requesting entity over the communication network, the model being determined by the network entity based on the at least one model parameter; wherein the communication network comprises a registering entity , the registering entity being configured to register models, wherein the network entity is configured to send a registration signal to the registering entity over the communication network , the registration signal comprising information on the model in order to register the model with the registering entity ; wherein the registering entity is a network function repository function, NRF, in the communication network. 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; 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 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 send the at least one requested model parameter or the model towards the requesting entity over the communication network, the model being determined by the network entity based on the at least one model parameter; wherein the communication network comprises a registering entity , the registering entity being configured to register models, wherein the network entity is configured to send a registration signal to the registering entity over the communication network , the registration signal comprising information on the model in order to register the model with the registering entity ; wherein the registering entity is a network function repository function, NRF, in the communication network. <EOS>