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Tian Fang

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Conference 2026

FedQFS: A Blockchain-Based Federated Learning Framework Based on Quality Auditing, Fairness Deviation, and Sybil-Resistant Similarity

A blockchain-based federated learning framework based on quality auditing, fairness deviation, and Sybil-resistant similarity (FedQFS) is proposed, which achieves over 95.5% accuracy on the MNIST dataset and maintains strong robustness under Sybil attacks scenarios.

Tian Fang · 0 citations

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