公开(公告)号：US11552788B2

公开(公告)日：2023-01-10

申请号：US17114752

申请日：2020-12-08

Applicant: Beijing University of Posts and Telecommunications

Inventor： Hui Yang ,  Lin Guan ,  Chao Li ,  Qiuyan Yao ,  Bowen Bao ,  Zhengjie Sun ,  Jie Zhang

IPC: H04L9/40 ,  H04L9/08 ,  G06K9/62 ,  H04L9/32 ,  H04L9/00

Abstract: Disclosed is a data sharing method, including: building a trust alliance block chain, the trust alliance block chain comprising a main chain and at least one slave chain; each slave chain corresponding to a domain; and each domain comprising a leader node; establishing a virtual slave chain on the trust alliance block chain; designating, by the leader node in each domain, a node as a federated learning node; assigning, by the leader node in each domain, a virtual identity to the federated learning node to join the federated learning node to the virtual slave chain; and performing, by each federated learning node, a joint training on a local federated learning model using data generated in its own domain to establish a public federated learning model, through which data are shared among the domains. The present disclosure further provides a data sharing system, an electronic device and a storage medium.

公开(公告)号：US11296963B1

公开(公告)日：2022-04-05

申请号：US17114772

申请日：2020-12-08

Applicant: Beijing University of Posts and Telecommunications

Inventor： Hui Yang ,  Lin Guan ,  Qiuyan Yao ,  Bowen Bao ,  Chao Li ,  Zhengjie Sun ,  Jie Zhang

IPC: H04L43/062 ,  H04L43/067 ,  G06K9/62 ,  H04L43/16 ,  H04L43/0882

Abstract: A system of traffic prediction for IoT nodes includes at least one access node, a transmission network and a cloud platform. The access node is configured to collect traffic data, cluster the traffic data into access traffic data and network traffic data, input the access traffic data into an access traffic prediction model to obtain a prediction result of the access traffic at a next moment, and upload the network traffic data and the prediction result of the access traffic to the cloud platform; the cloud platform is configured to input the network traffic data into a network traffic prediction model to obtain a prediction result of the network traffic for each access node at the next moment, and obtain a prediction result of traffic for each node according to the prediction result of the network traffic and the prediction result of the access traffic.