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
· Poster Volume 0008 The 2026... · 0 citations