公开(公告)号：US20220318688A1

公开(公告)日：2022-10-06

申请号：US17644425

申请日：2021-12-15

Applicant: Huazhong University of Science and Technology

Inventor： Jiang XIAO ,  Xiaohai DAI ,  Huichuwu LI ,  Chen YU ,  Hai JIN

IPC: G06N20/20

Abstract: The present invention relates a method and a system for cross-chain consensus oriented to federated learning, comprising: conducting intra-cluster single-chain federated learning and collecting local update information; sending updates after consensus to a second federation so as to execute cross-cluster gradient exchange; receiving a verification result of cross-cluster gradient update consensus fed back from the second federation; and conducting local model update based on the verification result. After implementation of the update consensus, the present invention provides rewards and punishments based on the contributions of the cluster representatives, thereby encouraging the cluster representatives in the computing nodes to act honestly, so that the participants can actively help the model update.

公开(公告)号：US20220012155A1

公开(公告)日：2022-01-13

申请号：US17247237

申请日：2020-12-04

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Jiang XIAO ,  Huichuwu LI ,  Minrui Wu ,  Hai JIN

IPC: G06F11/34 ,  G06F21/60 ,  G06N20/00

Abstract: The present invention relates to an activity recognition system balanced between versatility and individuation, comprising a communication framework jointly formed by a data collecting terminal, a computing device, and a cloud computing platform, the activity recognition system uses the communication framework to conduct personnel activity recognition and model updating, and the edge computing device further comprises a model training module and an activity recognition module, and the model training module retrieves a local activity recognition model by continuously verifying user IDs, and uses the first data to train a versatile network structure and an individualized network structure of the local activity recognition model in a way that individuation features of the user and versatility features of the model are fused with each other, so that the personnel activity recognition process conducted by the activity recognition module.