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 / 64 papers shown

Title
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 47 0 0 08 May 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 50 0 0 06 Mar 2025
SpinML: Customized Synthetic Data Generation for Private Training of Specialized ML Models Jiang Zhang Rohan Sequeira Konstantinos Psounis SyDa 73 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 8 0 01 Mar 2025
Optimizing DNN Inference on Multi-Accelerator SoCs at Training-time Matteo Risso Alessio Burrello Daniele Jahier Pagliari 41 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 42 0 0 17 Feb 2025
Edge-device Collaborative Computing for Multi-view Classification Marco Palena Tania Cerquitelli Carla Fabiana Chiasserini 13 3 0 24 Sep 2024
Benchmarking Edge AI Platforms for High-Performance ML Inference Rakshith Jayanth Neelesh Gupta Viktor Prasanna BDL 17 0 0 23 Sep 2024
Private Collaborative Edge Inference via Over-the-Air Computation Selim F. Yilmaz Burak Hasircioglu Li Qiao Deniz Gunduz FedML 48 0 0 30 Jul 2024
Parallel Split Learning with Global Sampling Mohammad Kohankhaki Ahmad Ayad Mahdi Barhoush A. Schmeink 28 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 35 41 0 09 Jul 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 22 1 0 01 Jun 2024
Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing Liekang Zeng Shengyuan Ye Xu Chen Yang Yang 19 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 5 0 22 Apr 2024
Memory-Efficient and Secure DNN Inference on TrustZone-enabled Consumer IoT Devices Xueshuo Xie Haoxu Wang Zhaolong Jian Tao Li Wei Wang Zhiwei Xu Gui-Ping Wang 11 2 0 19 Mar 2024
Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes Francesco Daghero Alessio Burrello Enrico Macii P. Montuschi M. Poncino Daniele Jahier Pagliari 10 4 0 16 Jun 2023
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference Matteo Risso Alessio Burrello G. M. Sarda Luca Benini Enrico Macii M. Poncino Marian Verhelst Daniele Jahier Pagliari 20 4 0 08 Jun 2023
Lyapunov-Driven Deep Reinforcement Learning for Edge Inference Empowered by Reconfigurable Intelligent Surfaces Kyriakos Stylianopoulos M. Merluzzi P. Lorenzo G. C. Alexandropoulos 25 9 0 18 May 2023
A Survey of Federated Evaluation in Federated Learning Behnaz Soltani Yipeng Zhou Venus Haghighi John C. S. Lui FedML 28 12 0 14 May 2023
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge Yaxin Luopan Rui Han Qinglong Zhang Chi Harold Liu Guoren Wang FedML 16 18 0 04 Dec 2022
Task-Oriented Over-the-Air Computation for Multi-Device Edge AI Dingzhu Wen Xiang Jiao Peixi Liu Guangxu Zhu Yuanming Shi Kaibin Huang 28 37 0 02 Nov 2022
Integration of Neuromorphic AI in Event-Driven Distributed Digitized Systems: Concepts and Research Directions Mattias Nilsson Olov Schelén Anders Lindgren Ulf Bodin Cristina Paniagua J. Delsing Fredrik Sandin 22 14 0 20 Oct 2022
AI Augmented Edge and Fog Computing: Trends and Challenges Shreshth Tuli Fatemeh Mirhakimi Samodha Pallewatta Syed Zawad G. Casale B. Javadi Feng Yan Rajkumar Buyya N. Jennings 17 56 0 01 Aug 2022
A Survey on Collaborative DNN Inference for Edge Intelligence Weiqing Ren Yuben Qu Chao Dong Yuqian Jing Hao Sun Qihui Wu Song Guo 23 49 0 16 Jul 2022
Device-Cloud Collaborative Recommendation via Meta Controller Jiangchao Yao Feng Wang Xichen Ding Shaohu Chen Bo Han Jingren Zhou Hongxia Yang 11 17 0 07 Jul 2022
Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review Hao Wang Bin Guo Y. Zeng Yasan Ding Chen Qiu Ying Zhang Li Yao Zhiwen Yu 25 2 0 02 Jul 2022
Fundamental Limits of Communication Efficiency for Model Aggregation in Distributed Learning: A Rate-Distortion Approach Naifu Zhang M. Tao Jia Wang Fan Xu 11 13 0 28 Jun 2022
On the Decentralization of Blockchain-enabled Asynchronous Federated Learning F. Wilhelmi Elia Guerra Paolo Dini 14 6 0 20 May 2022
Enabling All In-Edge Deep Learning: A Literature Review Praveen Joshi Mohammed Hasanuzzaman Chandra Thapa Haithem Afli T. Scully 19 22 0 07 Apr 2022
ACE: Towards Application-Centric Edge-Cloud Collaborative Intelligence Luhui Wang Cong Zhao Shusen Yang Xinyu Yang Julie McCann 25 1 0 24 Mar 2022
AI for Next Generation Computing: Emerging Trends and Future Directions S. Gill Minxian Xu Carlo Ottaviani Panos Patros Rami Bahsoon ... R. Sakellariou Schahram Dustdar Omer F. Rana Ivona Brandić Steve Uhlig 18 387 0 05 Mar 2022
Towards Enabling Dynamic Convolution Neural Network Inference for Edge Intelligence Adewale Adeyemo Travis Sandefur Tolulope A. Odetola S. R. Hasan 11 4 0 18 Feb 2022
CQELS 2.0: Towards A Unified Framework for Semantic Stream Fusion Anh Le-Tuan Manh Nguyen-Duc Chien-Quang Le T. Tran M. Hauswirth Thomas Eiter Danh Le-Phuoc FedML 8 3 0 15 Feb 2022
Edge Robotics: Edge-Computing-Accelerated Multi-Robot Simultaneous Localization and Mapping Peng Huang Liekang Zeng Xu Chen Ke Luo Zhi Zhou Shuai Yu 25 50 0 25 Dec 2021
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems Martin Rapp R. Khalili Kilian Pfeiffer J. Henkel 19 18 0 16 Dec 2021
R2: A Distributed Remote Function Execution Mechanism With Built-in Metadata Jianpeng Qi Rui Wang 13 5 0 05 Dec 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 26 414 0 24 Nov 2021
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks Anuj Dubey Rosario Cammarota Vikram B. Suresh Aydin Aysu AAML 18 30 0 01 Sep 2021
Task-Oriented Communication for Multi-Device Cooperative Edge Inference Jiawei Shao Yuyi Mao Jun Zhang 20 128 0 01 Sep 2021
perf4sight: A toolflow to model CNN training performance on Edge GPUs A. Rajagopal C. Bouganis 18 7 0 12 Aug 2021
Accelerating Edge Intelligence via Integrated Sensing and Communication Tong Zhang Shuai Wang Guoliang Li Fan Liu Guangxu Zhu Rui-cang Wang 6 34 0 20 Jul 2021
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning Di Wu R. Ullah P. Harvey Peter Kilpatrick I. Spence Blesson Varghese 32 78 0 09 Jul 2021
Management of Resource at the Network Edge for Federated Learning Silvana Trindade L. Bittencourt N. Fonseca 11 6 0 07 Jul 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence Emna Baccour N. Mhaisen A. Abdellatif A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 26 86 0 04 May 2021
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design Cong Hao Jordan Dotzel Jinjun Xiong Luca Benini Zhiru Zhang Deming Chen 48 34 0 25 Mar 2021
Compacting Deep Neural Networks for Internet of Things: Methods and Applications Ke Zhang Hanbo Ying Hongning Dai Lin Li Yuangyuang Peng Keyi Guo Hongfang Yu 16 38 0 20 Mar 2021
Deep Reinforcement Learning-Aided RAN Slicing Enforcement for B5G Latency Sensitive Services Sergio Martiradonna A. Abrardo M. Moretti G. Piro G. Boggia 11 0 0 18 Mar 2021
CoEdge: Cooperative DNN Inference with Adaptive Workload Partitioning over Heterogeneous Edge Devices Liekang Zeng Xu Chen Zhi Zhou Lei Yang Junshan Zhang 32 201 0 06 Dec 2020
Bringing AI To Edge: From Deep Learning's Perspective Di Liu Hao Kong Xiangzhong Luo Weichen Liu Ravi Subramaniam 34 116 0 25 Nov 2020
6G Networks: Beyond Shannon Towards Semantic and Goal-Oriented Communications Emilio Calvanese Strinati Sergio Barbarossa 14 386 0 04 Nov 2020