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Jinhu Fu

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Jul 2026

Toward Personalized Differentially Private Learning for Decentralized Local Graphs

PPGNN, a personalized differentially private framework for decentralized graph data, enables user-specific privacy budgets during local perturbation while preserving analytical utility in decentralized graph learning scenarios.

Longzhu He, Peng Tang, Chaozhuo Li et al. · 0 citations