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Federated model with contrastive learning and adaptive control variates for human activity recognition
Regular Papers | Updated：2025-07-02

    • Federated model with contrastive learning and adaptive control variates for human activity recognition

      Enhanced Publication
    • 用于人体活动识别的基于对比学习与自适应变量控制的联邦模型
    • “In the field of human activity recognition, researchers have introduced FedCoad, a novel federated learning model that leverages contrastive learning with adaptive control variates to address data skewness among clients, enhancing model convergence and outperforming state-of-the-art FL algorithms on HAR benchmark datasets.”
    • Frontiers of Information Technology & Electronic Engineering   Vol. 26, Issue 6, Pages: 896-911(2025)

    • DOI：10.1631/FITEE.2400797    

      CLC： TP391

    • Received：13 September 2024，

      Revised：2025-01-08，

      Published：2025-06

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  • Ignatius IWAN, Bernardo Nugroho YAHYA, Seok-Lyong LEE. Federated model with contrastive learning and adaptive control variates for human activity recognition[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(6): 896-911. DOI： 10.1631/FITEE.2400797.

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