摘要
在物联网、移动互联网的快速发展和大数据的深层驱动下,群体智能进入2.0时代。通过介绍群体智能2.0的定义,分析国内科研团队在群智感知计算、联邦学习及众包等方面的研究成果,明确群体智能2.0的发展趋势,并指出群智感知计算与众包技术将成为群体智能2.0的主要研究方向,数据获取、数据处理及用户隐私保护为需要解决的关键技术难点。
With the rapid development of Internet of Things(IoT) as well as mobile Internet and the deep drive of big data,crowd intelligence has entered the 2.0 era.This paper introduces the definition ofcrowd intelligence 2.0,and analyzes the research results of Chinese research teams on crowd intelligence sensing and computing,federated learning and crowdsourcing.On this basis,this paper clearly indicates the development trend of crowd intelligence 2.0,where crowdsourcing technologies and crowd intelligence sensing and computing will become the focus of research,while data acquisition,data processing and user privacy protection will become the key technological challenges to be solved.
作者
赵健
张鑫褆
李佳明
贺晨
ZHAO Jian;ZHANG Xinti;LI Jiaming;HE Chen(School of Information Science and Technology,Northwest University,Xi'an 710127,China)
出处
《计算机工程》
CAS
CSCD
北大核心
2019年第12期1-7,共7页
Computer Engineering
基金
国家自然科学基金(61701401)
陕西省自然科学基金(2019KJXX-061)
关键词
群体智能
众包
移动众包
群智感知计算
联邦学习
crowd intelligence
crowdsourcing
mobile crowdsourcing
crowd intelligence sensing and computing
federated learning
