Title | Joint Bandwidth Allocation, Computation Control, and Device Scheduling for Federated Learning with Energy Harvesting Devices |
Author | |
DOI | |
Publication Years | 2022-10-31
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ISSN | 1058-6393
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ISBN | 978-1-6654-5907-5
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Source Title | |
Pages | 1164-1168
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Conference Date | 31 Oct.-2 Nov. 2022
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Conference Place | Pacific Grove, CA, USA
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Keywords | |
SUSTech Authorship | Others
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URL | [Source Record] |
Data Source | IEEE
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PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10051949 |
Citation statistics |
Cited Times [WOS]:0
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Document Type | Conference paper |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/502102 |
Department | Department of Electrical and Electronic Engineering |
Affiliation | 1.School of Information Science and Technology, ShanghaiTech University, Shanghai, China 2.Shenzhen Research Institute of Big Data, Shenzhen, China 3.Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China 4.School of Electronic Information, Wuhan University, Wuhan, China |
Recommended Citation GB/T 7714 |
Li Zeng,Dingzhu Wen,Guangxu Zhu,et al. Joint Bandwidth Allocation, Computation Control, and Device Scheduling for Federated Learning with Energy Harvesting Devices[C],2022:1164-1168.
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