公开(公告)号：US20230385652A1

公开(公告)日：2023-11-30

申请号：US18336895

申请日：2023-06-16

Applicant: Huawei Technologies Co., Ltd.

Inventor： Yingxuan Zhu ,  Jialing Wu ,  Han Su

IPC: G06N3/098

CPC classification number: G06N3/098

Abstract: The present technology discloses a federated learning network including a server and multiple client devices. The server receives a set of parameters of a local machine-learning model from each client device in a subset of the multiple client devices. The set of parameters are combined from each of the client devices in the subset to generate an integrated set of parameters. The server then calculates a parameter difference between the integrated set of parameters and the set of parameters for each client device in the subset. Feedback is sent by the server to each client device in the subset. The feedback is applied during backpropagation of the client. If the local parameters of a client are determined to be invalid for a number of times, the client will be set as an outlier.

公开(公告)号：US20230207120A1

公开(公告)日：2023-06-29

申请号：US18177059

申请日：2023-03-01

Applicant: Huawei Technologies Co., Ltd.

Inventor： Jialing Wu ,  Jian Li ,  Han Su ,  Yingxuan Zhu

IPC: G16H40/67 ,  G16H40/40 ,  G06N3/0442

CPC classification number: G16H40/67 ,  G16H40/40 ,  G06N3/0442

Abstract: A method implemented by an agent monitoring device, comprises obtaining, by a sensor of the agent monitoring device, sensor data over a period of time, the sensor data describing a characteristic of an agent associated with the agent monitoring device, determining output data for the sensor based on the sensor data using a learning model, determining a sensor condition for the sensor, determining that a power level of a battery of the agent monitoring device meets the pre-defined power level, determining whether the output data meets the threshold value of the sensor condition in response to the power level of the battery having reached the pre-defined power level, and uploading an indication of the output data to at least one of a cloud server or a representative device in response to the output data for the sensor having met the threshold value of the sensor condition.