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Communication-Efficient Vertically Split Inference via Over-the-Air Computation
2023-09-25
会议录名称2023 IEEE 24TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC)
ISSN1948-3244
页码1-5
发表状态已发表
DOI10.1109/SPAWC53906.2023.10304428
摘要In this paper, a vertically split neural network based edge-device collaborative inference framework is proposed to deal with the issue that heterogeneous raw data samples are obtained by different devices for an inference task as well as to enhance the feature extraction capability of edge devices. To alleviate the communication overhead caused by transmitting the high-dimensional local feature maps, the technique of over-the-air computation (AirComp) is adopted. Furthermore, a broadband channel is considered and orthogonal frequency division multiplexing (OFDM) is leveraged to support the simultaneous aggregation of all dimensions of the local results. Due to the channel fading and noise, a scheme of joint subcarrier allocation, power allocation, and receive beamforming is then proposed to minimize the aggregation distortion and improve the inference accuracy. Extensive experiments are conducted to verify the superiority of the proposed design over benchmarking schemes. © 2023 IEEE.
会议录编者/会议主办者IEEE Signal Processing Society ; The Institute of Electrical and Electronics Engineers (IEEE)
关键词split inference over-the-air computation orthogonal frequency division multiplexing
会议名称24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023
会议地点Shanghai, China
会议日期25-28 Sept. 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20234915163077
EI主题词Orthogonal frequency division multiplexing
EI分类号711.2 Electromagnetic Waves in Relation to Various Structures
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/348745
专题信息科学与技术学院
信息科学与技术学院_PI研究组_石远明组
信息科学与技术学院_PI研究组_文鼎柱组
通讯作者Yang, Peng
作者单位
1.East China Normal University, Software Engineering Institute, Shanghai; 200062, China
2.ShanghaiTech University, School of Information Science and Technology, Shanghai; 201210, China
3.The University of Hong Kong, Department of Electrical and Electronic Engineering, Hong Kong
推荐引用方式
GB/T 7714
Yang, Peng,Wen, Dingzhu,Zeng, Qunsong,et al. Communication-Efficient Vertically Split Inference via Over-the-Air Computation[C]//IEEE Signal Processing Society, The Institute of Electrical and Electronics Engineers (IEEE):Institute of Electrical and Electronics Engineers Inc.,2023:1-5.
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