公开(公告)号：US20220150057A1

公开(公告)日：2022-05-12

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: H04L9/08 ,  H04L9/32 ,  G06N3/08 ,  G06K9/62

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：US20220368650A1

公开(公告)日：2022-11-17

申请号：US17403479

申请日：2021-08-16

Applicant: Beijing University of Posts and Telecommunications

Inventor： Hui YANG ,  Bowen BAO ,  Qiuyan YAO ,  Chao LI ,  Zhengjie SUN ,  Jie ZHANG

IPC: H04L12/911 ,  H04L12/24 ,  G06N3/02

Abstract: Disclosed is a method of network resource allocation. The method includes: generating an adjacency matrix of nodes in a metropolitan area network (MAN) according to spatial adjacency relationships of the nodes; generating a network state feature matrix according to traffic information of each node; extracting traffic spatial features of the nodes from the adjacency matrix and the network state feature matrix through a traffic spatial feature extraction model; obtaining predicted traffic of the nodes from the traffic spatial features through a traffic prediction model; and performing a network resource allocation according to the predicted traffic of the nodes. Further, a device of network resource allocation and a non-transitory computer-readable storage medium are also disclosed.

公开(公告)号：US20250132984A1

公开(公告)日：2025-04-24

申请号：US18824150

申请日：2024-09-04

Applicant: Beijing University of Posts and Telecommunications

Inventor： Hui YANG ,  Yunyu ZHANG ,  Qiuyan YAO ,  Tiankuo YU ,  Jie ZHANG

IPC: H04L41/147 ,  H04Q11/00

Abstract: Disclosed are a traffic prediction method for a metropolitan optical network and related devices. The traffic prediction method may include: classifying nodes in the metropolitan optical network into multiple node sets based on locations of the nodes; for nodes in each node set, inputting temporal traffic data of the nodes into a traffic prediction model corresponding to the node set to obtain traffic prediction results of the nodes in the node set. In the method, the traffic prediction model is obtained by deep learning using historical time-series traffic data of the node sets as a training set.

公开(公告)号：US20220164795A1

公开(公告)日：2022-05-26

申请号：US17145674

申请日：2021-01-11

Applicant: Beijing University of Posts and Telecommunications

Inventor： Hui YANG ,  Shuai DONG ,  Qiuyan YAO ,  Bowen BAO ,  Chao LI ,  Zhengjie SUN ,  Jie ZHANG

IPC: G06Q20/40 ,  H04L9/06

Abstract: Disclosed is a cross-chain communication method. In this method, a first edge node of a first blockchain receives a first transaction request and validates the first transaction request; on condition that the first transaction request passes the validation, the first edge node will send the first transaction request to a notary node group; the notary node group determines at least one target notary node according to a preset criterion; the at least one target notary node validates the first edge node and a second edge node of a second blockchain corresponding to the first transaction request; and on condition that both the first edge node and the second edge node pass the validation, the first edge node will set up a cross-chain communication with the second edge node depending on the first transaction request to complete a cross-chain transaction. A cross-chain communication device and a storage medium are also disclosed.

公开(公告)号：US20220158913A1

公开(公告)日：2022-05-19

申请号：US17130302

申请日：2020-12-22

Applicant: Beijing University of Posts and Telecommunications

Inventor： Hui YANG ,  Zhengjie SUN ,  Qiuyan YAO ,  Bowen BAO ,  Chao LI ,  Jie ZHANG

IPC: H04L12/24 ,  H04L12/801 ,  G06N3/08 ,  G06N3/04

Abstract: Disclosed is a method for network slicing, which includes: determining a service keyword of a service intention after receiving the service intention from a user; converting the service intention into a network request according to the service keyword of the service intention on the basis of a pre-established mapping model, wherein, the network request comprises at least one network requirement index; determining a set of network slicing configuration parameters according to the network request and current network environment state on the basis of a network slicing model, wherein the network slicing model is a deep neural network model for determining network slicing configuration parameters according to a network request and a network environment state; and performing a network slicing according to the set of network slicing configuration parameters. The present disclosure also provides a device for network slicing and a computer readable storage medium.