Green Edge AI: A Contemporary Survey

1 December 2023

Yuyi Mao

X. Yu

Kaibin Huang

Ying-Jun Angela Zhang

Jun Zhang

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Papers citing "Green Edge AI: A Contemporary Survey"

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Title
EdgeWisePersona: A Dataset for On-Device User Profiling from Natural Language Interactions Patryk Bartkowiak Michal Podstawski 12 0 0 16 May 2025
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey Jing Liu Yao Du Kun Yang Yan Wang Xiping Hu Zehua Wang Yang Liu Peng Sun Azzedine Boukerche Victor C.M. Leung 43 0 0 03 May 2025
Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models Xubin Wang Zhiqing Tang Jianxiong Guo Tianhui Meng Chenhao Wang Tian-sheng Wang Weijia Jia 52 1 0 08 Mar 2025
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced Continual Large Models Jiao Chen Jiayi He Fangfang Chen Zuohong Lv Jianhua Tang Weihua Li Zuozhu Liu Howard H. Yang Guangjie Han AI4CE 36 1 0 02 Sep 2024
A Survey on Integrated Sensing, Communication, and Computation Dingzhu Wen Yong Zhou Xiaoyang Li Yuanming Shi Kaibin Huang Khaled B. Letaief 34 24 0 15 Aug 2024
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey Guanqiao Qu Qiyuan Chen Wei Wei Zheng Lin Xianhao Chen Kaibin Huang 42 43 0 09 Jul 2024
Energy-Efficient Channel Decoding for Wireless Federated Learning: Convergence Analysis and Adaptive Design Linping Qu Yuyi Mao Shenghui Song Chi-Ying Tsui 34 0 0 26 Jun 2024
Generative AI for Low-Carbon Artificial Intelligence of Things with Large Language Models Jinbo Wen Ruichen Zhang Dusit Niyato Jiawen Kang Hongyang Du Yang Zhang Zhu Han AI4CE 35 10 0 28 Apr 2024
Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey Minrui Xu Dusit Niyato Jiawen Kang Zehui Xiong Abbas Jamalipour Yuguang Fang Dong In Kim Xuemin X. Shen 28 5 0 25 Apr 2024
Design Principles for Lifelong Learning AI Accelerators Dhireesha Kudithipudi Anurag Daram Abdullah M. Zyarah Fatima Tuz Zohora J. Aimone ... Emre Neftci M. Mattina Vincenzo Lomonaco Clare D. Thiem Benjamin Epstein 48 17 0 05 Oct 2023
Adaptive Federated Pruning in Hierarchical Wireless Networks Xiaonan Liu Shiqiang Wang Yansha Deng A. Nallanathan 37 11 0 15 May 2023
Exploring Collaborative Distributed Diffusion-Based AI-Generated Content (AIGC) in Wireless Networks Hongyang Du Ruichen Zhang Fellow Ieee Dusit Niyato Jiawen Kang Zehui Xiong Fellow Ieee Dong In Kim Fellow Ieee Sherman Shen X. Shen L. F. I. H. Vincent Poor DiffM 68 75 0 07 Apr 2023
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing Jiawei Shao Yuchang Sun Songze Li Jun Zhang OOD 27 37 0 06 Oct 2022
A Survey on Green Deep Learning Jingjing Xu Wangchunshu Zhou Zhiyi Fu Hao Zhou Lei Li VLM 73 83 0 08 Nov 2021
Federated Dropout -- A Simple Approach for Enabling Federated Learning on Resource Constrained Devices Dingzhu Wen Ki-Jun Jeon Kaibin Huang FedML 70 90 0 30 Sep 2021
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach Jiawei Shao Yuyi Mao Jun Zhang 44 212 0 08 Feb 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 141 674 0 24 Jan 2021
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation Su Wang Mengyuan Lee Seyyedali Hosseinalipour Roberto Morabito M. Chiang Christopher G. Brinton FedML 77 110 0 04 Jan 2021
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 174 760 0 28 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,959 0 20 Apr 2018
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,687 0 14 Apr 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,567 0 17 Apr 2017