Journal of Shandong University(Engineering Science) ›› 2026, Vol. 56 ›› Issue (4): 65-74.doi: 10.6040/j.issn.1672-3961.0.2025.113

• Machine Learning & Data Mining • Previous Articles    

Efficient and secure blockchain-based federated learning framework for industrial Internet of Things

He Tengyuan1, Wang Jishu2, Wang Min1, Tang Mingjing1,3*   

  1. He Tengyuan1, Wang Jishu2, Wang Min1, Tang Mingjing1, 3*(1. School of Information Science and Technology, Yunnan Normal University, Kunming 650500, Yunnan, China;
    2. School of Information Science and Engineering, Yunnan University, Kunming 650500, Yunnan, China;
    3. Yunnan Provincial Key Laboratory of Potato Biology, Yunnan Normal University, Kunming 650500, Yunnan, China
  • Published:2026-08-12

Abstract: To address the significant decline in federated learning training efficiency caused by computational heterogeneity among industrial Internet of Things devices, an efficient and secure blockchain-based federated learning framework was proposed. The dynamic client selection algorithm and reputation management mechanism were designed to screen out reliable and high-performance devices to participate in each round of training. The main-subchain blockchain architecture was introduced to enhance transaction verification efficiency while reducing storage costs. A deep learning-based method was utilized to dynamically adjust the block size to balance blockchain performance across different federated learning phases, thereby enabling more stable and efficient blockchain operations. Experiments on public datasets demonstrated that the client selection algorithm achieved near-optimal performance, blockchain storage costs were optimized to less than 66% of conventional approaches, and latency prediction performance outperformed existing approaches. Experimental evaluations and result analyses demonstrated the effectiveness and feasibility of the proposed framework, which was equally applicable to other application scenarios characterized by device computational heterogeneity.

Key words: industrial Internet of Things, federated learning, blockchain system, client selection, main-subchain architecture, blockchain performance optimization

CLC Number: 

  • TP181
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