Multi-exit DNN inference acceleration based on multi-dimensional optimization for edge intelligence

F Dong, H Wang, D Shen, Z Huang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Edge intelligence, as a prospective paradigm for accelerating DNN inference, is mostly
implemented by model partitioning which inevitably incurs the large transmission overhead …
被引用次数：26 相关文章

Multi-exit DNN Inference Acceleration based on Multi-Dimensional Optimization for Edge Intelligence

F Dong, H Wang, D Shen… - IEEE …, 2022 - researchbank.swinburne.edu.au
Edge intelligence, as a prospective paradigm for accelerating DNN inference, is mostly
implemented by model partitioning which inevitably incurs the large transmission overhead …

Multi-Exit DNN Inference Acceleration Based on Multi-Dimensional Optimization for Edge Intelligence

F Dong, H Wang, D Shen, Z Huang, Q He… - IEEE Transactions on …, 2023 - dl.acm.org
Edge intelligence, as a prospective paradigm for accelerating DNN inference, is mostly
implemented by model partitioning which inevitably incurs the large transmission overhead …

Multi-Exit DNN Inference Acceleration Based on Multi-Dimensional Optimization for Edge Intelligence

F Dong, H Wang, D Shen, Z Huang, Q He… - IEEE Transactions on …, 2023 - computer.org
Edge intelligence, as a prospective paradigm for accelerating DNN inference, is mostly
implemented by model partitioning which inevitably incurs the large transmission overhead …