Hybrid Reconfigurable Intelligent Surface Assisted Over-the-Air Federated Learning

doi:10.1109/ICCWorkshops57953.2023.10283597

	Hybrid Reconfigurable Intelligent Surface Assisted Over-the-Air Federated Learning
	Jiaqi Jin; Zhibin Wang; Liantao Wu; Yong Zhou
	2023-05-28
会议录名称	2023 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS)
ISSN	2164-7038
页码	367-372
发表状态	已发表
DOI	10.1109/ICCWorkshops57953.2023.10283597
摘要	By making full use of the superposition property, over-the-air computation (AirComp) enables low-latency model aggregation in wireless federated learning (FL). Meanwhile, reconfigurable intelligent surface can be adopted to mitigate the communication bottleneck of model aggregation in AirComp-based FL by introducing an additional reflective path. However, the double path loss attenuation in the reflective link limits the performance improvement delivered by passive RIS. To alleviate the detrimental effect of the double path loss attenuation, we propose to deploy a hybrid RIS with both active and passive elements to support over-the-air FL. We characterize the impact of gradient distortion on the convergence of FL and further formulate a gradient distortion minimization problem, while considering the modulus constraints of RIS. Furthermore, we develop an alternating minimization algorithm to implement joint design for the transmit scalars, RIS amplifying/reflecting coefficients, and receive beamforming. Simulation results show that our proposed hybrid RIS aided AirComp-based FL achieves superior performance in terms of test accuracy. © 2023 IEEE.
关键词	Federated learning Array signal processing Conferences Computational modeling Atmospheric modeling Minimization Distortion
会议名称	2023 IEEE International Conference on Communications Workshops, ICC Workshops 2023
会议地点	Rome, Italy
会议日期	28 May-1 June 2023
URL	查看原文
收录类别	EI
语种	英语
出版者	Institute of Electrical and Electronics Engineers Inc.
EI入藏号	20234815140387
EI主题词	Agglomeration
EI分类号	802.3 Chemical Operations
原始文献类型	Conference article (CA)
来源库	IEEE
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/343612
专题	信息科学与技术学院信息科学与技术学院_PI研究组_周勇组信息科学与技术学院_硕士生信息科学与技术学院_博士生
作者单位	School of Information Science and Technology, ShanghaiTech University, Shanghai, China
第一作者单位	信息科学与技术学院
第一作者的第一单位	信息科学与技术学院
推荐引用方式 GB/T 7714	Jiaqi Jin,Zhibin Wang,Liantao Wu,et al. Hybrid Reconfigurable Intelligent Surface Assisted Over-the-Air Federated Learning[C]:Institute of Electrical and Electronics Engineers Inc.,2023:367-372.