Latency-aware semi-synchronous federated learning client resource co-scheduling scheme for IIoT

Federated learning (FL), as a flexible and scalable distributed machine learning approach, has been widely applied in the industrial Internet of things (IIoT) to achieve low-latency, low communication overhead, and high-accuracy model training while preserving data privacy. However, due to the heter...

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Xehetasun bibliografikoak

Egile Nagusiak:	WANG Ye, SHI Ying, XIA Tianle, LIU Miao, YANG Jie, ZHAO Haitao
Formatua:	Artigo
Hizkuntza:	Chinês
Argitaratua:	China InfoCom Media Group 2025-12-01
Saila:	物联网学报
Gaiak:	industrial Internet of things federated learning straggler effect client scheduling resource allocation
Sarrera elektronikoa:	http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2025.00496/
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