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Qiong Shi

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Conference Aug 2026

Privacy-Aware Task Offloading in Vehicular Edge Computing Based on Deep Reinforcement Learning

Vehicular edge computing (VEC) faces critical challenges regarding limited onboard computational capacity and the potential for location privacy leakage. To address these issues, this paper proposes a novel, privacy-aware task offloading framework driven by deep reinforcement learning (DRL). First, we design a dynamic...

Qiong Shi, Yong-Qiang Cheng, Qing-De Li · 0 citations
Open access Jul 2026

TA-STGAT: A Spatio-Temporal Graph Attention Network for Edge-State Prediction in Vehicular Edge Computing

Experimental results show that, compared with the best-performing baseline in terms of RMSE for each forecasting task, TA-STGAT reduces RMSE by 10.89% and 11.29% in workload-representation prediction and traffic flow prediction, respectively, demonstrating its effectiveness for short-term edge-state forecasting.

Qiong Shi, Wenwen Cheng, Mengli Wang · 0 citations

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