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FLIGHT:Federated Learning with IRS for Grouped Heterogeneous Training

Tong Yin Lixin Li Donghui Ma Wensheng Lin Junli Liang Zhu Han

通信与信息网络学报（英文）2022，Vol.7Issue(2)：P.135-144,10.

FLIGHT:Federated Learning with IRS for Grouped Heterogeneous Training

Tong Yin ¹Lixin Li ¹Donghui Ma ¹Wensheng Lin ¹Junli Liang ¹Zhu Han²

作者信息

1. School of Electronics and Information,Northwestern Poly technical University,Xi''an 710129,China
2. Department of Electrical and Computer Engineering at the University of Houston,Houston,TX 77004,USA,and also with the Department of Computer Science and Engineering,Kyung Hee University,Seoul 446-701,South Korea
折叠

摘要

关键词

federated learning/decentralized aggrega-tion/intelligent reflecting surfaces/grouped learning

分类

信息技术与安全科学

引用本文复制引用

Tong Yin,Lixin Li,Donghui Ma,Wensheng Lin,Junli Liang,Zhu Han..FLIGHT:Federated Learning with IRS for Grouped Heterogeneous Training[J].通信与信息网络学报（英文）,2022,7(2):P.135-144,10.

基金项目

National Natural Sci-ence Foundation of China(NSFC)(62001387) （NSFC）

Shang-hai Academy of Spaceflight Technology(SAST)(SAST2020124) （SAST）

NSF(CNS-2107216) （CNS-2107216）

NSF(CNS-2128368)。（CNS-2128368）

通信与信息网络学报（英文）

OACSCDEI

ISSN：2096-1081

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