A Trustworthy Privacy Preserving Framework for Machine Learning in Industrial IoT Systems

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On Blockchain and IoT Integration Platforms: Current Implementation Challenges and Future Perspectives

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Privacy-Preserved Credit Data Sharing Integrating Blockchain and Federated Learning for Industrial 4.0

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A Systematic Literature Review of Blockchain-based Federated Learning: Architectures, Applications and Issues

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A Binocular Vision Application in IoT: Realtime Trustworthy Road Condition Detection System in Passable Area

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Cooperative Robotics and Machine Learning for Smart Manufacturing: Platform Design and Trends Within the Context of Industrial Internet of Things

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Secure and Scalable Blockchain-Based Federated Learning for Cryptocurrency Fraud Detection: A Systematic Review

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A Checkpoint Enabled Scalable Blockchain Architecture for Industrial Internet of Things

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Applied Machine Learning for IIoT and Smart Production—Methods to Improve Production Quality, Safety and Sustainability

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Appositeness of Optimized and Reliable Machine Learning for Healthcare: A Survey

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A Review of Blockchain Technology in Knowledge-Defined Networking, Its Application, Benefits, and Challenges

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A Hybrid Approach With GAN and DP for Privacy Preservation of IIoT Data

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PCFed: Privacy-Enhanced and Communication-Efficient Federated Learning for Industrial IoTs

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A Blockchain-Assisted Trusted Federated Learning for Smart Agriculture

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Federated Learning for Human Activity Recognition: Overview, Advances, and Challenges

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A neutrosophic WPM-based machine learning model for device trust in industrial internet of things

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Decentralized Federated Learning for Industrial IoT With Deep Echo State Networks

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RL-Based Federated Learning Framework Over Blockchain (RL-FL-BC)

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Fair Outsourcing Polynomial Computation Based on the Blockchain

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Deep Learning-Based Privacy-Preserving Data Transmission Scheme for Clustered IIoT Environment

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CFSL: A Credible Federated Self-Learning Framework

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Perturbation-enabled Deep Federated Learning for Preserving Internet of Things-based Social Networks

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A Privacy Protection Framework for Machine Learning for IIOT

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A Novel Framework for Trustworthy Privacy Preserving Machine Learning Model for Industrial IoT Systems Using Blockchain Techniques

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A PRIVACY-PRESERVING MACHINE LEARNING FRAMEWORK FOR RELIABLE INDUSTRIAL IOT APPLICATIONS

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Gaussian Differential Privacy Integrated Machine Learning Model for Industrial Internet of Things

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