联邦学习赋能6G网络综述  

A survey of federated learning for 6G networks

作　　者：耿光磊 高博 熊轲[1,2] 樊平毅[3] 陆杨[1,2] 王煜炜 GENG Guanglei;GAO Bo;XIONG Ke;FAN Pingyi;LU Yang;WANG Yuwei(School of Computer and Information Technology,Beijing Jiaotong University,Beijing 100044,China;Engineering Research Center of Network Management Technology for High Speed Railway of Ministry of Education,Beijing Jiaotong University,Beijing 100044,China;National Research Center for Information Science and Technology,Tsinghua University,Beijing 100084,China;Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,China)

机构地区：[1]北京交通大学计算机与信息技术学院,北京100044 [2]北京交通大学高速铁路网络管理教育部工程研究中心,北京100044 [3]清华大学北京信息科学与技术国家研究中心,北京100084 [4]中国科学院计算技术研究所,北京100190

出　　处：《物联网学报》2023年第2期50-66,共17页Chinese Journal on Internet of Things

基　　金：国家自然科学基金资助项目(No.61872028);中央高校基本科研业务费资助项目(No.2021JBM008,No.2022JBXT001)。

摘　　要：基于内生人工智能(AI,artificial intelligence)在大规模复杂异构网络中实现万物智联是6G的重要特征之一。联邦学习(FL,federated learning)因其数据处理本地化这一特有的机器学习架构,被认为是在6G场景中实现分布式泛在智联的重要途径,已成为6G的重要研究方向。为此,首先分析了在未来6G,特别是物联网(IoT,internet of things)场景中引入分布式AI的必要性,以此为基础论述了FL在满足相关6G指标要求的潜力,并从架构设计、资源利用、数据传输、隐私保护、服务提供角度综述了FL如何赋能6G网络,最后给出了FL赋能6G研究存在的一些关键挑战和未来有价值的研究方向。It is an important feature of the 6G that how to realize everything interconnection through large-scale complex heterogeneous networks based on native artificial intelligence(AI).Thanks to the distinct machine learning architecture of data processing locally,federated learning(FL)is regarded as one of the promising solutions to incorporate distributed AI in 6G scenarios,and has become a critical research direction of 6G.Therefore,the necessity of introducing distributed AI into the future 6G especially for internet of things(IoT)scenarios was analyzed.And then,the potentials of FL in meeting the 6G requirements were discussed,and the state-of-the-arts of FL related technologies such as architecture design,resource utilization,data transmission,privacy protection,and service provided for 6G were investigated.Finally,several key technical challenges and potential valuable research directions for FL-empowered 6G were put forward.

关 键 词：6G网络 物联网 人工智能 联邦学习 

分 类 号：TP393[自动化与计算机技术—计算机应用技术] TN92[自动化与计算机技术—计算机科学与技术]