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.