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Digital Twin-Enabled Edge Federated Learning for Data Streams

Zhenzhen Xie Junjie Pang Yan Huang Olusesi Balogun Dongxiao Yu Zhipeng Cai

清华大学学报自然科学版（英文版）2026，Vol.31Issue(4)：2040-2054,15.

清华大学学报自然科学版（英文版）2026，Vol.31Issue(4)：2040-2054,15.DOI:10.26599/TST.2024.9010227

Digital Twin-Enabled Edge Federated Learning for Data Streams

Zhenzhen Xie ¹Junjie Pang ²Yan Huang ³Olusesi Balogun ⁴Dongxiao Yu ¹Zhipeng Cai⁴

作者信息

1. School of Computer Science and Technology,Shandong University,Qingdao 266237,China
2. College of Computer Science and Technology,Qingdao University,Qingdao 266070,China
3. College of Computing and Software Engineering,Kennesaw State University,Atlanta,GA 30060,USA
4. Department of Computer Science,Georgia State University,Atlanta,GA 30302,USA
折叠

摘要

关键词

Federated Learning(FL)/Digital Twins(DTs)/streaming data/conditional Generative Adversarial Network(cGAN)

Key words

Federated Learning(FL)/Digital Twins(DTs)/streaming data/conditional Generative Adversarial Network(cGAN)

引用本文复制引用

Zhenzhen Xie,Junjie Pang,Yan Huang,Olusesi Balogun,Dongxiao Yu,Zhipeng Cai..Digital Twin-Enabled Edge Federated Learning for Data Streams[J].清华大学学报自然科学版（英文版）,2026,31(4):2040-2054,15.

基金项目

This work was supported in part by the Young Scientists Fund of the Natural Science Foundation of Shandong Province(No.ZR2022QF134). （No.ZR2022QF134）

清华大学学报自然科学版（英文版）

ISSN：1007-0214

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