Offloaded Execution of Deep Learning Inference at Edge: Challenges and Insights-Reference-Cited by-同舟云学术

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Offloaded Execution of Deep Learning Inference at Edge: Challenges and Insights

Published:2019-03 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
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Author:

Dey Swarnava,Mondal Jayeeta,Mukherjee Arijit

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8718765/8730567/08730817.pdf?arnumber=8730817

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Towards a Task-agnostic Distillation Methodology for Creating Edge Foundation Models;Proceedings of the Workshop on Edge and Mobile Foundation Models;2024-06-03

2. Multi-Compression Scale DNN Inference Acceleration based on Cloud-Edge-End Collaboration;ACM Transactions on Embedded Computing Systems;2024-01-19

3. DeepSlicing;Advances in Computational Intelligence and Robotics;2023-12-29

4. ResMap: Exploiting Sparse Residual Feature Map for Accelerating Cross-Edge Video Analytics;IEEE INFOCOM 2023 - IEEE Conference on Computer Communications;2023-05-17

5. A Survey on Collaborative DNN Inference for Edge Intelligence;Machine Intelligence Research;2023-05-03

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