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

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

The integration of the Industrial Internet of Things (IIoT) and federated learning (FL) can be a promising approach to achieving secure and collaborative AI-driven Industry 4.0 and beyond. FL enables the collaborative training of a global model under the supervision of a central server while ensurin...

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Bibliographic Details
Main Authors: Dost Muhammad Saqib Bhatti, Mazhar Ali, Junyong Yoon, Bong Jun Choi
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Sensors
Subjects:
federated learning
industrial IoT
deep neural networks
distributed learning
Shapley value
Online Access:https://www.mdpi.com/1424-8220/25/3/969

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https://www.mdpi.com/1424-8220/25/3/969

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