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Efficient Collaborative Learning in the Industrial IoT Using Federated Learning and Adaptive Weighting Based on Shapley Values.

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第一作者： Dost Muhammad Saqib,Bhatti

第一单位： School of Computer Science and Engineering, Soongsil University, Seoul 06978, Republic of Korea.

作者： Dost Muhammad Saqib,Bhatti ^[1] ; Mazhar,Ali ^[1] ; Junyong,Yoon ^[1] ; Bong Jun,Choi ^[1]

作者单位： School of Computer Science and Engineering, Soongsil University, Seoul 06978, Republic of Korea. ^[1]

关键词 Shapley value deep neural networks distributed learning federated learning industrial IoT

DOI 10.3390/s25030969

PMID 39943608

发布时间 2025-02-15

基金项目

NRF-2022R1A2C4001270/National Research Foundation of Korea IITP-2025-2020-0-01602/Information Technology Research Center

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2025年25卷3期

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Efficient Collaborative Learning in the Industrial IoT Using Federated Learning and Adaptive Weighting Based on Shapley Values.

Sensors (Basel, Switzerland)

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Efficient Collaborative Learning in the Industrial IoT Using Federated Learning and Adaptive Weighting Based on Shapley Values.

Sensors (Basel, Switzerland)

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Sensors (Basel, Switzerland)

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