首页|期刊导航|大数据挖掘与分析（英文版）|Tensor-Based Efficient Federated Reinforcement Learning for Cyber-Physical-Social Intelligence

Tensor-Based Efficient Federated Reinforcement Learning for Cyber-Physical-Social Intelligence

Xin Nie Laurence T.Yang Fulan Fan Zecan Yang

大数据挖掘与分析（英文版）2025，Vol.8Issue(4)：867-879,13.

大数据挖掘与分析（英文版）2025，Vol.8Issue(4)：867-879,13.DOI:10.26599/BDMA.2025.9020036

Tensor-Based Efficient Federated Reinforcement Learning for Cyber-Physical-Social Intelligence

Xin Nie ¹Laurence T.Yang ²Fulan Fan ³Zecan Yang¹

作者信息

1. School of Computer and Artiffcial Intelligence,Zhengzhou University,Zhengzhou 450001,China
2. School of Computer and Artificial Intelligence,Zhengzhou University,Zhengzhou 450001,China||Department of Computer Science,St.Francis Xavier University,Antigonish,B2G 2W5,Canada
3. School of Education,South-Central Minzu University,Wuhan 430074,China
折叠

摘要

关键词

Cyber-Physical-Social Intelligence(CPSI)/Federated Reinforcement Learning(FRL)/tensor train decomposition

Key words

Cyber-Physical-Social Intelligence(CPSI)/Federated Reinforcement Learning(FRL)/tensor train decomposition

引用本文复制引用

Xin Nie,Laurence T.Yang,Fulan Fan,Zecan Yang..Tensor-Based Efficient Federated Reinforcement Learning for Cyber-Physical-Social Intelligence[J].大数据挖掘与分析（英文版）,2025,8(4):867-879,13.

基金项目

This work was supported by the National Natural Science Foundation of China(Nos.U23A20300 and 62207033)and the Fundamental Research Funds for the Central Universities of South-Central Minzu University(No.CSZ23013). （Nos.U23A20300 and 62207033）

大数据挖掘与分析（英文版）

访问量0

下载量0

段落导航