Energy-Aware Selective Inference Task Offloading for Real-Time Edge Computing Applications
Author:
Affiliation:
1. School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China
2. School of Computer Science, University College Dublin, Dublin 4, Ireland
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10536887.pdf?arnumber=10536887
Reference18 articles.
1. Machine Learning at the Network Edge: A Survey
2. Task Offloading for Smart Glasses in Healthcare: Enhancing Detection of Elevated Body Temperature
3. A context-aware edge computing framework for smart Internet of Things;Ben Sada;Future Internet,2023
4. Llama 2: Open foundation and fine-tuned chat models;Touvron;arXiv:2307.09288,2023
5. Selective task offloading for maximum inference accuracy and energy efficient real-time IoT sensing systems;Sada;arXiv:2402.16904,2024
Cited by 1 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. Multi-Agent Deep Reinforcement Learning-Based Inference Task Scheduling and Offloading for Maximum Inference Accuracy under Time and Energy Constraints;Electronics;2024-06-30
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