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Jia-Nan Liu

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Open access Aug 2026

SecMTSC: Achieving Privacy-Preserving and Efficient Multivariate Time Series Classification for Healthcare

Time series data are widely used in many application scenarios. For example, in healthcare scenario, time series-based health predictions require users to submit their time series data, so that service provider (e.g., medical center) can predict the user's health status through calculations (e.g., classification). To r...

Jieyi Wen, Minhua Su, Mei Cai et al. · 0 citations
2026

Decision Boundary Drift: A Security, Privacy, and Trust Risk of Continual Learning for Agentic AI in Edge Networks

Continual learning (CL) is a key paradigm that enables intelligent agents to operate autonomously in edge networks over the long term. However, continuous model updates can lead to catastrophic forgetting and representation instability in edge deployment scenarios, which may further induce Decision Boundary Drift (DBD)...

Kaixiang Yang, Yue-Bin Xu, Zhi-Hao Li et al. · 0 citations

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