公开(公告)号：US20240127065A1

公开(公告)日：2024-04-18

申请号：US18544940

申请日：2023-12-19

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Jinke REN ,  Guanding YU ,  Chonghe LIU ,  Jian WANG ,  Rong LI

IPC: G06N3/08 ,  G06N3/045

CPC classification number: G06N3/08 ,  G06N3/045

Abstract: A GAN training method, a machine learning system, and a communication apparatus are provided, which relate to the field of communication technologies and AI. The machine learning system includes a first device and a second device, where a first GAN runs on the first device, a second GAN runs on the second device, the first GAN includes a first generator and a first discriminator, and the second GAN includes a second generator and a second discriminator.

公开(公告)号：US20250126577A1

公开(公告)日：2025-04-17

申请号：US19001879

申请日：2024-12-26

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Mengyuan LEE ,  Guanding YU ,  Jian WANG ,  Rong LI

IPC: H04W52/36 ,  H04W52/22 ,  H04W52/24

Abstract: A first node obtains first power control information (PCI) based on an information security protection requirement, a maximum transmit power of a second node, and channel information between the first and second nodes. The first PCI is a piece of PCI that is obtained through prediction and that maximizes a signal-to-noise ratio of a received signal of the first node when the information security protection requirement is met. The received signal includes a signal from the second node. In addition, the first node sends the first PCI to the second node, where the first PCI is used by the second node to generate a first signal. The first node then receives the first signal from the second node, where the first signal includes data information and security protection information, and the security protection information is used to protect information security of the data information.

公开(公告)号：US20230421286A1

公开(公告)日：2023-12-28

申请号：US18463446

申请日：2023-09-08

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Guanding YU ,  Xinyi XU ,  Shengli LIU ,  Jian WANG

IPC: H04L1/00

CPC classification number: H04L1/0003

Abstract: A communication method and apparatus are provided. A modulation and coding scheme is determined based on a first norm of a first communication apparatus, and the first communication apparatus uploads information about a first learning model based on the modulation and coding scheme. The first norm of the first communication apparatus represents an importance degree of a local dataset of the first communication apparatus. The modulation and coding scheme used in a process in which a local training result is uploaded is determined based on the first norm, so that efficiency of federated learning can be improved.