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Yu-Hong Li

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Open access Jul 2026

Feddsg: backdoor defense via semantic filter and geometric constraint in federated learning

FedDSG is proposed, a server-side defense that combines a semantic bias filter and a geometric direction constraint to counter backdoor manipulation, and consistently achieves the highest Overall Performance Score (OPS), reflecting a superior trade-off between robustness and accuracy.

Jiabao Zhang, Jianhua Wang, Yu-Hong Li et al. · 0 citations

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