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Jiahuan Luo

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Aug 2026

FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation.

This article proposes a novel adaptive obfuscation mechanism, coined FedAdOb, to protect private data without yielding original model performances, and utilizes passport-based adaptive obfuscation to ensure data privacy in both horizontal and vertical federated learning settings.

Hanlin Gu, Jiahuan Luo, Yan Kang et al. · 0 citations