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RobWE: Robust Watermark Embedding for Personalized Federated Learning Model Ownership Protection
This paper presents a robust watermark embedding scheme, named RobWE, to protect the ownership of personalized models in PFL.
Spatial-temporal Conv-sequence Learning with Accident Encoding for Traffic Flow Prediction
In an intelligent transportation system, the key problem of traffic forecasting is how to extract periodic temporal dependencies and complex spatial correlations.
PURE: Passive mUlti-peRson idEntification via Deep Footstep Separation and Recognition
Recently, \textit{passive behavioral biometrics} (e. g., gesture or footstep) have become promising complements to conventional user identification methods (e. g., face or fingerprint) under special situations, yet existing sensing technologies require lengthy measurement traces and cannot identify multiple users at the same time.
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