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Zhenglong Jiang

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Open access Jul 2026

Privacy-preserving clustered federated learning via differential privacy and homomorphically encrypted prototypes.

Privacy-Preserving Clustered Federated Learning (PPCFL), a split-stream framework that integrates adaptive Gaussian perturbation with threshold Paillier encrypted aggregation, achieves the highest final-round accuracy among the evaluated methods in the reported settings.

Jun Zhan, Zhenglong Jiang, Lang Liu · 0 citations

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