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ShanghaiTech University Knowledge Management System
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)
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ISSN | 1948-3244 |
页码 | 1-5 |
发表状态 | 已发表 |
DOI | 10.1109/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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