Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing

24 May 2019

Xu Chen

Papers citing "Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing"

50 / 253 papers shown

Title
Chisme: Fully Decentralized Differentiated Deep Learning for Edge Intelligence Harikrishna Kuttivelil Katia Obraczka FedML 19 0 0 14 May 2025
Federated Learning for Cyber Physical Systems: A Comprehensive Survey Minh K. Quan P. Pathirana M. Wijayasundara S. Setunge Dinh C. Nguyen Christopher G. Brinton David J. Love H. Vincent Poor AI4CE 54 0 0 08 May 2025
TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction Weijie Liu Ziwei Zhan Carlee Joe-Wong Edith Ngai Jingpu Duan Deke Guo Xu Chen Xinsong Zhang FedML 53 0 0 24 Apr 2025
Les Dissonances: Cross-Tool Harvesting and Polluting in Multi-Tool Empowered LLM Agents Zichuan Li Jian Cui Xiaojing Liao Luyi Xing LLMAG 47 0 0 04 Apr 2025
Task as Context Prompting for Accurate Medical Symptom Coding Using Large Language Models Chengyang He Wenlong Zhang Violet Chen Yue Ning Ping Wang 31 0 0 03 Apr 2025
Mixture-of-Experts for Distributed Edge Computing with Channel-Aware Gating Function Qiuchen Song Shusen Jing Shuai Zhang Songyang Zhang Chuan Huang MoE 60 0 0 01 Apr 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 54 1 0 08 Mar 2025
LiteChain: A Lightweight Blockchain for Verifiable and Scalable Federated Learning in Massive Edge Networks Handi Chen Rui Zhou Yun-Hin Chan Zhihan Jiang Xianhao Chen Edith C.H. Ngai 52 0 0 06 Mar 2025
SpinML: Customized Synthetic Data Generation for Private Training of Specialized ML Models Jiang Zhang Rohan Sequeira Konstantinos Psounis SyDa 78 0 0 05 Mar 2025
Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable Tiansheng Huang Sihao Hu Fatih Ilhan Selim Furkan Tekin Zachary Yahn Yichang Xu Ling Liu 53 10 0 01 Mar 2025
Optimizing DNN Inference on Multi-Accelerator SoCs at Training-time Matteo Risso Alessio Burrello Daniele Jahier Pagliari 46 0 0 24 Feb 2025
InTec: integrated things-edge computing: a framework for distributing machine learning pipelines in edge AI systems Habib Larian Faramarz Safi-Esfahani 47 0 0 17 Feb 2025
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence Liekang Zeng Shengyuan Ye Xu Chen Xiaoxi Zhang Ju Ren Jian Tang Yang Yang Xuemin Shen 60 2 0 08 Jan 2025
Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies Xubin Wang Weijia Jia 36 0 0 08 Jan 2025
AutoSculpt: A Pattern-based Model Auto-pruning Framework Using Reinforcement Learning and Graph Learning Lixian Jing Jianpeng Qi Junyu Dong Yanwei Yu 3DPC AI4CE 44 0 0 24 Dec 2024
A Decade of Deep Learning: A Survey on The Magnificent Seven Dilshod Azizov Muhammad Arslan Manzoor Velibor Bojkovic Yingxu Wang Zihan Wang ... Liang Li Siwei Liu Yu Zhong Wei Liu Shangsong Liang OOD AI4TS MedIm 120 0 0 13 Dec 2024
FusedInf: Efficient Swapping of DNN Models for On-Demand Serverless Inference Services on the Edge Sifat Ut Taki Arthi Padmanabhan Spyridon Mastorakis 26 0 0 28 Oct 2024
CloudEye: A New Paradigm of Video Analysis System for Mobile Visual Scenarios Huan Cui Qing Li Hanling Wang Yong-jia Jiang 21 0 0 24 Oct 2024
FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression Zhenheng Tang Xueze Kang Yiming Yin Xinglin Pan Yuxin Wang ... Shaohuai Shi Amelie Chi Zhou Bo Li Bingsheng He Xiaowen Chu AI4CE 81 8 0 16 Oct 2024
A Comprehensive Survey on Joint Resource Allocation Strategies in Federated Edge Learning Jingbo Zhang Qiong Wu Pingyi Fan Q. Fan FedML 33 0 0 10 Oct 2024
SoK: Towards Security and Safety of Edge AI Tatjana Wingarz Anne Lauscher Janick Edinger Dominik Kaaser Stefan Schulte Mathias Fischer 33 0 0 07 Oct 2024
Resource-aware Mixed-precision Quantization for Enhancing Deployability of Transformers for Time-series Forecasting on Embedded FPGAs Tianheng Ling Chao Qian Gregor Schiele 26 0 0 04 Oct 2024
Edge-device Collaborative Computing for Multi-view Classification Marco Palena Tania Cerquitelli Carla Fabiana Chiasserini 30 3 0 24 Sep 2024
Benchmarking Edge AI Platforms for High-Performance ML Inference Rakshith Jayanth Neelesh Gupta Viktor Prasanna BDL 30 1 0 23 Sep 2024
Dynamic DAG-Application Scheduling for Multi-Tier Edge Computing in Heterogeneous Networks Xiang Li Mustafa Abdallah Yuan-Yao Lou Mung Chiang Kwang Taik Kim S. Bagchi 23 3 0 17 Sep 2024
Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation Luo Ji Gao Liu Mingyang Yin Hongxia Yang Jingren Zhou 23 0 0 11 Sep 2024
Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for Collaborative DNN Training on Heterogeneous Edge Devices Shengyuan Ye Liekang Zeng Xiaowen Chu Guoliang Xing Xu Chen 38 11 0 15 Aug 2024
Residual-INR: Communication Efficient On-Device Learning Using Implicit Neural Representation Hanqiu Chen Xuebin Yao Pradeep Subedi Cong Hao 33 0 0 10 Aug 2024
Private Collaborative Edge Inference via Over-the-Air Computation Selim F. Yilmaz Burak Hasircioglu Li Qiao Deniz Gunduz FedML 60 1 0 30 Jul 2024
Parallel Split Learning with Global Sampling Mohammad Kohankhaki Ahmad Ayad Mahdi Barhoush A. Schmeink 38 1 0 22 Jul 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
PocketLLM: Enabling On-Device Fine-Tuning for Personalized LLMs Dan Peng Zhihui Fu Jun Wang 40 12 0 01 Jul 2024
LeYOLO, New Scalable and Efficient CNN Architecture for Object Detection Lilian Hollard Lucas Mohimont N. Gaveau L. Steffenel ObjD 42 3 0 20 Jun 2024
Design and Optimization of Hierarchical Gradient Coding for Distributed Learning at Edge Devices Weiheng Tang Jingyi Li Lin Chen Xu Chen 53 1 0 16 Jun 2024
Resource Allocation and Workload Scheduling for Large-Scale Distributed Deep Learning: A Survey Feng Liang Zhen Zhang Haifeng Lu Chengming Li Victor C. M. Leung Yanyi Guo Xiping Hu 45 3 0 12 Jun 2024
IMFL-AIGC: Incentive Mechanism Design for Federated Learning Empowered by Artificial Intelligence Generated Content Guangjing Huang Qiong Wu Jingyi Li Xu Chen FedML 24 4 0 12 Jun 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 41 1 0 01 Jun 2024
Adaptive and Parallel Split Federated Learning in Vehicular Edge Computing Xianke Qiang Zheng Chang Yun Hu Lei Liu Timo Hämäläinen 30 2 0 29 May 2024
Adaptive Device-Edge Collaboration on DNN Inference in AIoT: A Digital Twin-Assisted Approach Shisheng Hu Mushu Li Jie Gao Conghao Zhou X. Shen 36 13 0 27 May 2024
Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference Shengyuan Ye Jiangsu Du Liekang Zeng Wenzhong Ou Xiaowen Chu Yutong Lu Xu Chen 41 17 0 27 May 2024
Momentum-Based Federated Reinforcement Learning with Interaction and Communication Efficiency Sheng Yue Xingyuan Hua Lili Chen Ju Ren 23 1 0 24 May 2024
Edge Intelligence Optimization for Large Language Model Inference with Batching and Quantization Xinyuan Zhang Jiang Liu Zehui Xiong Yudong Huang Gaochang Xie Ran Zhang 23 5 0 12 May 2024
Fairness Without Demographics in Human-Centered Federated Learning Shaily Roy Harshit Sharma Asif Salekin 51 2 0 30 Apr 2024
Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing Liekang Zeng Shengyuan Ye Xu Chen Yang Yang 29 11 0 27 Apr 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories Ning Yang Shuo Chen Haijun Zhang Randall Berry OffRL 29 6 0 22 Apr 2024
Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems Xiaofei Wang Yunfeng Zhao Chao Qiu Qinghua Hu Victor C. M. Leung 35 6 0 20 Apr 2024
LAECIPS: Large Vision Model Assisted Adaptive Edge-Cloud Collaboration for IoT-based Perception System Shijing Hu Ruijun Deng Xin Du Zhihui Lu Qiang Duan Yi He Shih-Chia Huang Jie Wu VLM 32 3 0 16 Apr 2024
Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey Feng Liang Zhen Zhang Haifeng Lu Victor C. M. Leung Yanyi Guo Xiping Hu GNN 37 6 0 09 Apr 2024
Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference Fred Hohman Chaoqun Wang Jinmook Lee Jochen Görtler Dominik Moritz Jeffrey P. Bigham Zhile Ren Cecile Foret Qi Shan Xiaoyi Zhang 35 7 0 03 Apr 2024
Towards Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural Networks Leona Hennig Tanja Tornede Marius Lindauer AI4CE 30 3 0 02 Apr 2024