An Isomerism Learning Model to Solve Time-Varying Problems Through Intelligent Collaboration  

作　　者：Zhihao Hao Guancheng Wang Bob Zhang Leyuan Fang Haisheng Li 

机构地区：[1]the Department of Computer and Information Science,University of Macao,Macao 999078,China [2]the School of Data Science,the Chinese University of Hong Kong,Shenzhen 518172 [3]Shenzhen Institute of Artificial Intelligence and Robotics for Society,Shenzhen 518000 [4]China Industrial Control Systems Cyber Emergency Response Team,Beijing 100040,China [5]IEEE [6]the College of Electrical and Information Engineering,Hunan University,Changsha 410082 [7]the Peng Cheng Laboratory,Shenzhen 518000,China [8]the Beijing Key Laboratory of Big Data Technology for Food Safety,Beijing Technology and Business University,Beijing 100048 [9]the School of Computer Science and Engineering,Beijing Technology and Business University,Beijing 100048,China

出　　处：《IEEE/CAA Journal of Automatica Sinica》2023年第8期1772-1774,共3页自动化学报（英文版）

基　　金：supported in part by Shenzhen Science and Technology Program(ZDSYS2021102111141502);the Shenzhen Institute of Artificial Intelligence and Robotics for Society;the National Natural Science Foundation of China(62277001);the Scientific Research Program of Beijing Municipal Education Commission(KZ202110011017);the National Key Technology R&D Program of China(SQ2020YFB10027);Major Science and Technology Special Project of Yunnan Province(202102AD080006)。

摘　　要：Dear Editor,This letter deals with a solution for time-varying problems using an intelligent computational(IC)algorithm driven by a novel decentralized machine learning approach called isomerism learning.In order to meet the challenges of the model’s privacy and security brought by traditional centralized learning models,a private permissioned blockchain is utilized to decentralize the model in order to achieve an effective coordination,thereby ensuring the credibility of the overall model without exposing the specific parameters and solution process.

关 键 词：ISM thereby LETTER 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]