Multi-Resource Allocation for On-Device Distributed Federated Learning Systems-Reference-Cited by-同舟云学术

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Multi-Resource Allocation for On-Device Distributed Federated Learning Systems

Published:2022-12-04 Issue: Volume: Page:
ISSN:
Container-title:GLOBECOM 2022 - 2022 IEEE Global Communications Conference
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Author:

Gao Yulan¹,Ye Ziqiang¹,Yu Han²,Xiong Zehui³,Xiao Yue¹,Niyato Dusit²

Affiliation:

1. University of Electronic Science and Technology of China,The National Key Laboratory of Science and Technology on Communications

2. The School of Computer Science and Engineering, Nanyang Technological University,Singapore,639798

3. Singapore University of Technology and Design (SUTD),Pillar of Information Systems Technology and Design,Singapore,487372

Funder

National Research Foundation, Singapore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10000063/10000593/10000935.pdf?arnumber=10000935

Reference12 articles.

1. Optimized Power Allocation and Signal Shaping for Interference-Limited Multi-antenna “Ad Hoc” Networks

2. Cellular V2X as the essential enabler of superior global connected transportation services;papathanassiou;IEEE 5G Tech Focus,2017

3. Distributed reconfigurable intelligent surfaces assisted indoor positioning;ma;IEEE Trans Wireless Commun early access,2022

4. Correlation model for shadow fading in mobile radio systems

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Energy-Efficient Federated Learning-enabled Digital Twin in UAV-aided Vehicular Networks;2023 28th Asia Pacific Conference on Communications (APCC);2023-11-19

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