公开(公告)号：US20230244951A1

公开(公告)日：2023-08-03

申请号：US18099631

申请日：2023-01-20

Applicant: Samsung Electronics Co., Ltd. ,  Duke University

Inventor： Yoo Jin CHOI ,  Mostafa EL-KHAMY ,  Sijia WANG ,  Ricardo Henao GIRALDO ,  Junya CHEN

IPC: G06N3/096 ,  G06N3/042

CPC classification number: G06N3/096 ,  G06N3/042

Abstract: Disclosed is a method and apparatus for dynamic models to identify similar tasks when no task identifier is provided during the training phase in continual learning (CL). The method includes maintaining a memory comprising one or more previously learned tasks, determining, in response to receiving a new task, one of more similarities between at least one previously learned task and the new task, generating, based on the one or more similarities determined and a previously used task-specific encoder corresponding to the at least one previously learned task, a test error value for classifying the new task, and applying the previously used task-specific encoder to the new task based on the generated test error value.

公开(公告)号：US20230214713A1

公开(公告)日：2023-07-06

申请号：US17824558

申请日：2022-05-25

Applicant: Samsung Electronics Co., Ltd.

Inventor： Yoo Jin CHOI ,  Mostafa EL-KHAMY ,  Sijia WANG

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: A server and method thereof are provided for use in a federated network. A method includes receiving local updates from client devices; updating a global model based on the received local updates; quantizing the updated global model; reconstructing feature maps based on the received local updates; refining the quantized, updated global model based on the reconstructed feature maps; and transmitting the refined, quantized, updated global model to the client devices.