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Federated Multi-Label Feature Selection via Dual-Layer Hybrid Breeding Cooperative Particle Swarm Optimization with Manifold and Sparsity Regularization

Songsong Zhang Huazhong Jin Zhiwei Ye Jia Yang Jixin Zhang Dongfang Wu Xiao Zheng Dingfeng Song

Computers, Materials & Continua2026，Vol.86Issue(1)：P.1141-1159,19.

Computers, Materials & Continua2026，Vol.86Issue(1)：P.1141-1159,19.DOI:10.32604/cmc.2025.068044

Federated Multi-Label Feature Selection via Dual-Layer Hybrid Breeding Cooperative Particle Swarm Optimization with Manifold and Sparsity Regularization

Songsong Zhang ¹Huazhong Jin ²Zhiwei Ye ²Jia Yang ²Jixin Zhang ²Dongfang Wu ²Xiao Zheng ²Dingfeng Song¹

作者信息

1. School of Computer Science,Hubei University of Technology,Wuhan,430000,China
2. School of Computer Science,Hubei University of Technology,Wuhan,430000,China Hubei Provincial Key Laboratory of Green Intelligent Computing Power Network,Wuhan,430000,China
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摘要

关键词

Multi-label feature selection/federated learning/manifold regularization/sparse constraints/hybrid breeding optimization algorithm/particle swarm optimizatio algorithm/privacy protection

分类

信息技术与安全科学

引用本文复制引用

Songsong Zhang,Huazhong Jin,Zhiwei Ye,Jia Yang,Jixin Zhang,Dongfang Wu,Xiao Zheng,Dingfeng Song..Federated Multi-Label Feature Selection via Dual-Layer Hybrid Breeding Cooperative Particle Swarm Optimization with Manifold and Sparsity Regularization[J].Computers, Materials & Continua,2026,86(1):P.1141-1159,19.

Computers, Materials & Continua

ISSN：1546-2218

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