公开(公告)号：US20240195701A1

公开(公告)日：2024-06-13

申请号：US18555117

申请日：2021-05-11

Applicant: Nokia Technologies Oy

Inventor： Tejas SUBRAMANYA ,  Janne ALI-TOLPPA ,  Henning SANNECK ,  Laurent CIAVAGLIA

IPC: H04L41/14 ,  H04L41/16 ,  H04L41/5003

CPC classification number: H04L41/145 ,  H04L41/16 ,  H04L41/5003

Abstract: Method comprising: receiving a trust level requirement for a service; translating the trust level requirement into a requirement for at least one of a fairness, an explainability, and a robustness of a calculation performed by an artificial intelligence pipeline related to the service; providing the requirement for the at least one of the fairness, the explainability, and the robustness to a trust manager of the artificial intelligence pipeline.

公开(公告)号：US20230412458A1

公开(公告)日：2023-12-21

申请号：US18259539

申请日：2020-12-28

Applicant: Nokia Technologies Oy

Inventor： Henning SANNECK ,  Janne Tapio ALI-TOLPPA

IPC: H04L41/0895 ,  H04L41/16 ,  H04L41/0873

CPC classification number: H04L41/0895 ,  H04L41/0873 ,  H04L41/16

Abstract: According to a method for implementing a training coordination function, at least one training request with which training of a network function instance of an autonomous network of a communication network system is requested is processed. Based on a result of the processing, it is decided whether to approve the at least one training request, or not. If the at least one training request is approved, the training is planned based on the at least one training request, an identification of the at least one training request is returned, and in accordance with the planning, an existing training state associated with the network function instance is stored or updated in a database which is configured to store existing training states associated with network function instances of the autonomous network.