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An adaptive DNN inference acceleration framework with end-edge-cloud collaborative computing.

, , , , , , and . Future Gener. Comput. Syst., (2023)

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Towards Accurate Latency Prediction of DNN Layers Inference on Diverse Computing Platforms., , , , , and . DASC/PiCom/CBDCom/CyberSciTech, page 1-7. IEEE, (2022)A Survey of Traffic Prediction Based on Deep Neural Network: Data, Methods and Challenges., , , , and . CloudComp, volume 430 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 17-29. Springer, (2021)Correction to: Task offloading for vehicular edge computing with edge‑cloud cooperation., , , , and . World Wide Web (WWW), 26 (2): 633 (March 2023)Edge Computing: A Systematic Mapping Study., , , , and . DASC/PiCom/CBDCom/CyberSciTech, page 507-514. IEEE, (2021)Task offloading for vehicular edge computing with edge-cloud cooperation., , , , and . World Wide Web, 25 (5): 1999-2017 (2022)EEAI: An End-edge Architecture for Accelerating Deep Neural Network Inference., , , , , and . HPCC/DSS/SmartCity/DependSys, page 1761-1768. IEEE, (2021)An Approach for Traffic Flow Prediction Combining 3D Convolution and Attention Mechanism., , , , , and . SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, page 2019-2025. IEEE, (2022)A Distributed Privacy-Preserving Framework for Deep Learning with Edge-Cloud Computing., , , , , , and . iThings/GreenCom/CPSCom/SmartData/Cybermatics, page 250-257. IEEE, (2022)A collaborative computation and dependency-aware task offloading method for vehicular edge computing: a reinforcement learning approach., , , , , and . J. Cloud Comput., (2022)An adaptive DNN inference acceleration framework with end-edge-cloud collaborative computing., , , , , , and . Future Gener. Comput. Syst., (2023)