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Zhen-Song Zhao

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Open access Aug 2026

Privacy-Preserving Framework for Multi-Institutional Medical Time-Series Analysis via Homomorphic Encryption: Design and Development Study

This work designs a secure multiparty deep learning system that enables privacy-preserving modeling from distributed medical time-series data without centralizing raw information or exposing model parameters, and successfully bridges the utility-privacy gap.

Yao Lu, Yu Tian, Tianshu Zhou et al. · 0 citations

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