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This paper presents a blockchain-based federated learning approach for device failure detection in Industrial IoT (IIoT) that ensures client data privacy and addresses data heterogeneity. The proposed architecture includes a novel centroid distance weighted federated averaging algorithm and an incentive mechanism to motivate client participation, while maintaining data integrity through a Merkle tree structure anchored on the blockchain. Evaluation results demonstrate the feasibility, accuracy, and performa

Author

nhatkhanhle11906

Language

EN