公开(公告)号：US20250086503A1

公开(公告)日：2025-03-13

申请号：US18580048

申请日：2023-10-12

Applicant: ZHEJIANG LAB

Inventor： Guang CHEN ,  Yong LI ,  Shiqiang ZHU

IPC: G06N20/00

Abstract: The present disclosure discloses a method and an apparatus for training a distributed model based on node fault perception, a storage medium, and an electronic device. During model training, a backup node can be assigned to each device node used during model training, such that in response to monitoring that a device node is faulty, the backup node corresponding to the faulty device node can take over the model training task, thereby ensuring the efficiency of the model training task.

公开(公告)号：US20240111586A1

公开(公告)日：2024-04-04

申请号：US18472648

申请日：2023-09-22

Applicant: ZHEJIANG LAB

Inventor： Shiqiang ZHU ,  Aimin PAN ,  Feng GAO

IPC: G06F9/50

CPC classification number: G06F9/5027

Abstract: The present disclosure belongs to the field of intelligent computing technologies, and relates to a multi-policy intelligent scheduling methods and apparatuses oriented to heterogeneous computing power. The method includes: step 1, setting an execution policy of a task based on heterogeneity of computing clusters, differences of computing tasks and a user requirement, and constructing a Markov decision process model by adopting a reinforcement learning method combined with the execution policy; step 2, adopting a proximal policy optimization to solve an optimal task scheduling policy of the task input by the user based on the constructed Markov decision process model; step 3, scheduling the task to a corresponding computing cluster for execution based on the optimal task scheduling policy.

公开(公告)号：US20220157468A1

公开(公告)日：2022-05-19

申请号：US17553832

申请日：2021-12-17

Applicant: ZHEJIANG LAB

Inventor： Jingsong LI ,  Shiqiang ZHU ,  Tianshu ZHOU ,  Yu TIAN

IPC: G16H50/50 ,  G16H50/20 ,  G16H50/30 ,  G16H50/70 ,  G16H70/20 ,  G16H10/60

Abstract: Provided is a patient data visualization method and system for assisting decision making in chronic diseases. According to the present application, a management data model diagram of a patient on a hyperplane is constructed by constructing a chronic disease knowledge graph, and combining static data and dynamic data of the patient, and then the management data model diagram is projected onto a two-dimensional plane. The difference of the Euclidean distance between features of a patient information model on a two-dimensional plane graph from the distance of standard features is compared, and a management plan is generated and recommended in combination with path node concepts and an attribute relationship between the concepts.