Radio Resource Management in 5G and Beyond Networks: A Layered In-network Learning Approach
Radio Resource Management in 5G and Beyond Networks: A Layered In-network Learning Approach
批准号:
20K11764
负责人:
王 瀟岩
金额:
$2.75万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (C)
财政年份:
2020
资助国家:
日本
项目状态:
已结题
起止时间:
2020-04-01 至 2024-03-31
中文摘要
在2022财年,我们通过提出稳健的简化计算和通信流程,研究无线网络中的实际全局模型更新流程。具体来说,我们提出将计算和通信过程解耦,并让边缘服务器使用局部梯度的子集来更新全局模型。我们证明了算法的收敛性,并通过仿真评估其性能。
英文摘要
In FY2022, we investigate the practical global model update process in wireless networks by proposing a robust asynchronized computing and communication process. Specifically, we proposed to decouple the computing and communication processes, and let the edge server use a subset of asynchronized local gradients to update the global model. We proved the algorithm’s convergence and evaluated its performance by simulations.
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DOI:
10.1109/access.2021.3067662
发表时间:
2021
期刊:
IEEE Access
影响因子:
3.9
作者:
[Hang Zhou;Xiaoyan Wang;M. Umehira;Xianfu Chen;Celimuge Wu;Yusheng Ji]
通讯作者:
Hang Zhou;Xiaoyan Wang;M. Umehira;Xianfu Chen;Celimuge Wu;Yusheng Ji
DOI:
10.1145/3538641.3561484
发表时间:
2022-10
期刊:
Proceedings of the Conference on Research in Adaptive and Convergent Systems
影响因子:
--
作者:
[Kouhei Katou;Xiaoyan Wang;M. Umehira;Yusheng Ji]
通讯作者:
Kouhei Katou;Xiaoyan Wang;M. Umehira;Yusheng Ji
DOI:
10.1109/mnet.001.1900527
发表时间:
2020-11
期刊:
IEEE Network
影响因子:
9.3
作者:
[Zhenyu Zhou;Haijun Liao;Xiaoyan Wang;S. Mumtaz;Jonathan Rodriguez]
通讯作者:
Zhenyu Zhou;Haijun Liao;Xiaoyan Wang;S. Mumtaz;Jonathan Rodriguez
DOI:
10.1109/tits.2022.3150756
发表时间:
2022-02-24
期刊:
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
影响因子:
8.5
作者:
[Pan, Chao, Wang, Zhao, Al-Otaibi, Sattam]
通讯作者:
Al-Otaibi, Sattam
DOI:
10.1109/globecom42002.2020.9322553
发表时间:
2020-12
期刊:
GLOBECOM 2020 - 2020 IEEE Global Communications Conference
影响因子:
--
作者:
[Hang Zhou;Xiaoyan Wang;M. Umehira;Xianfu Chen;Celimuge Wu;Yusheng Ji]
通讯作者:
Hang Zhou;Xiaoyan Wang;M. Umehira;Xianfu Chen;Celimuge Wu;Yusheng Ji
共 9 条
An Efficient Split In-network Learning Approach for Resource Constrained Wireless Networks
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批准号:23K11080
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项目类别:Grant-in-Aid for Scientific Research (C)
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资助金额:$3.0万
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财政年份:2023
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负责人:王 瀟岩
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依托单位:
海外基金