Towards Carbon-Neutral Edge Computing: Greening Edge AI by Harnessing
Spot and Future Carbon Markets

Towards Carbon-Neutral Edge Computing: Greening Edge AI by Harnessing Spot and Future Carbon Markets

22 April 2023

Xu Chen

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Papers citing "Towards Carbon-Neutral Edge Computing: Greening Edge AI by Harnessing Spot and Future Carbon Markets"

7 / 7 papers shown

Title
Accuracy-Guaranteed Collaborative DNN Inference in Industrial IoT via Deep Reinforcement Learning Wen Wu Peng Yang Weiting Zhang Conghao Zhou Xuemin X. Shen 115 108 0 31 Dec 2022
Less Carbon Footprint in Edge Computing by Joint Task Offloading and Energy Sharing Zhanwei Yu Yi Zhao Tao Deng Lei You Di Yuan OT 126 4 0 10 Nov 2022
Carbon-Neutralized Task Scheduling for Green Computing Networks Chien-Sheng Yang Chien-Chun Huang-Fu I. Fu 43 5 0 06 Sep 2022
An Energy and Carbon Footprint Analysis of Distributed and Federated Learning S. Savazzi V. Rampa Sanaz Kianoush M. Bennis 59 45 0 21 Jun 2022
Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing En Li Liekang Zeng Zhi Zhou Xu Chen 57 630 0 04 Oct 2019
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks Surat Teerapittayanon Bradley McDanel H. T. Kung UQCV 99 1,151 0 06 Sep 2017
EIE: Efficient Inference Engine on Compressed Deep Neural Network Song Han Xingyu Liu Huizi Mao Jing Pu A. Pedram M. Horowitz W. Dally 132 2,461 0 04 Feb 2016