Chunyong Yin, Chenglong Qi
· Computer Networks · 0 citations
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This study proposes a dual-incentive mechanism that integrates model training performance with worker satisfaction, encouraging providers to allocate more resources to safety knowledge recommendation and shows that the dual-incentive mechanism yields stronger incentive intensity, higher provider effort, and greater req...
Shuai Zhang, Botao Zhong, Samad M. E. Sepasgozar et al.
· Journal of construction engi... · 0 citations
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Wen Ou, Tianchi Liao, Chuan Chen
· Engineering applications of... · 0 citations
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E. M. Sarmento, J. Batista, J. J. Bastos et al.
· Journal of Network and Compu... · 0 citations
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B.A. Jiang, Shengnan Zhao, Jiyang Chen et al.
· Knowledge-Based Systems · 1 citation
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Safa Ben Atitallah, Maha Driss, Wadii Boulila et al.
· Information Sciences · 0 citations
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Cui-Hua Ma, Xiang-Yan Tang, Chao-Sheng Tang et al.
· Knowledge-Based Systems · 0 citations
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Shivani Kumari, V. Ranga, Jasraj Meena
· Ain Shams Engineering Journa... · 0 citations
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This SoK model federated learning as an append-only transcript of submissions, admissions, aggregation, and finalization events, and formalize verifiability as a collection of integrity claims issued by clients and the aggregator, and checked by different verifier classes.
Andrea Rizzini, Marco Esposito, Tommaso Gagliardoni et al.
· Proceedings on Privacy Enhan... · 0 citations
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Jing Zhang, Zixu An, Xukai Wang et al.
· Comput. Networks · 0 citations
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Zeyu Yang, Bin Xiao, Xue-Zong Yang et al.
· Biomedical Signal Processing... · 0 citations
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Sarra Senouci, Zhangchun Tang, Mohammed Raouf Senouci et al.
· Engineering applications of... · 0 citations
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