Machine Learning at the Network Edge: A Survey

31 July 2019

Ganesh Ananthanarayanan

Faraz Hussain

ArXiv PDF HTML

Papers citing "Machine Learning at the Network Edge: A Survey"

33 / 33 papers shown

Title
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
Privacy-Enhanced Training-as-a-Service for On-Device Intelligence: Concept, Architectural Scheme, and Open Problems Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Bo Gao Tianliu He Wen Wang 68 0 0 24 Feb 2025
On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance Jaskirat Singh Bram Adams Ahmed E. Hassan VLM 43 0 0 01 Nov 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 42 2 0 28 Oct 2024
Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking over Wireless Sensor Networks Xingchi Liu Lyudmila Mihaylova Jemin George T. Pham 40 9 0 11 Sep 2024
Federated Learning with Flexible Architectures Jong-Ik Park Carlee Joe-Wong FedML 45 3 0 14 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
Enhancing User Experience in On-Device Machine Learning with Gated Compression Layers Haiguang Li Usama Pervaiz Joseph Antognini Michal Matuszak Lawrence Au Gilles Roux T. Thormundsson 48 0 0 02 May 2024
On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance Jaskirat Singh Emad Fallahzadeh Bram Adams Ahmed E. Hassan MQ 37 3 0 25 Mar 2024
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 30 7 0 07 Dec 2023
Using Cooperative Game Theory to Prune Neural Networks M. Diaz-Ortiz Benjamin Kempinski Daphne Cornelisse Yoram Bachrach Tal Kachman 33 2 0 17 Nov 2023
Sparse-firing regularization methods for spiking neural networks with time-to-first spike coding Yusuke Sakemi Kakei Yamamoto T. Hosomi Kazuyuki Aihara 40 7 0 24 Jul 2023
Federated Neural Radiance Fields Lachlan Holden Feras Dayoub D. Harvey Tat-Jun Chin FedML AI4CE 35 4 0 02 May 2023
MetaLDC: Meta Learning of Low-Dimensional Computing Classifiers for Fast On-Device Adaption Yejia Liu Shijin Duan Xiaolin Xu Shaolei Ren 32 4 0 23 Feb 2023
Learning Reservoir Dynamics with Temporal Self-Modulation Yusuke Sakemi S. Nobukawa Toshitaka Matsuki Takashi Morie Kazuyuki Aihara 19 6 0 23 Jan 2023
Simplification of Forest Classifiers and Regressors Atsuyoshi Nakamura Kento Sakurada 23 1 0 14 Dec 2022
AI-based Fog and Edge Computing: A Systematic Review, Taxonomy and Future Directions Sundas Iftikhar S. Gill Chenghao Song Minxian Xu M. Aslanpour ... Félix Cuadrado Blesson Varghese Omer F. Rana Schahram Dustdar Steve Uhlig 39 132 0 09 Dec 2022
Taxonomic Classification of IoT Smart Home Voice Control M. Hewitt H. Cunningham 24 1 0 24 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 21 56 0 01 Aug 2022
Lightweight Conditional Model Extrapolation for Streaming Data under Class-Prior Shift Paulina Tomaszewska Christoph H. Lampert 28 0 0 10 Jun 2022
Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware B. Sudharsan Dineshkumar Sundaram Pankesh Patel J. Breslin M. Ali Schahram Dustdar Albert Zomaya R. Ranjan 15 2 0 20 Apr 2022
Enabling All In-Edge Deep Learning: A Literature Review Praveen Joshi Mohammed Hasanuzzaman Chandra Thapa Haithem Afli T. Scully 31 22 0 07 Apr 2022
BED: A Real-Time Object Detection System for Edge Devices Guanchu Wang Zaid Pervaiz Bhat Zhimeng Jiang Yi-Wei Chen Daochen Zha ... A. Niktash Mehmet Gorkem Ulkar O. E. Okman Xuanting Cai Xia Hu 24 11 0 14 Feb 2022
Event Based Time-Vectors for auditory features extraction: a neuromorphic approach for low power audio recognition Marco Rasetto Juan P. Dominguez-Morales Angel Jimenez-Fernandez R. Benosman 13 4 0 13 Dec 2021
TinyML Platforms Benchmarking Anas Osman Usman Abid Luca Gemma Matteo Perotto Davide Brunelli ELM 30 15 0 30 Nov 2021
Efficient Softmax Approximation for Deep Neural Networks with Attention Mechanism Ihor Vasyltsov Wooseok Chang 33 12 0 21 Nov 2021
Automatic Speech Recognition And Limited Vocabulary: A Survey J. L. E. K. Fendji D. Tala B. Yenke M. Atemkeng 15 3 0 23 Aug 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 28 86 0 04 May 2021
On the Utility of Gradient Compression in Distributed Training Systems Saurabh Agarwal Hongyi Wang Shivaram Venkataraman Dimitris Papailiopoulos 31 46 0 28 Feb 2021
A Deep Learning Framework for Hybrid Beamforming Without Instantaneous CSI Feedback Ahmet M. Elbir 8 31 0 19 Jun 2020
Neural Network for Low-Memory IoT Devices and MNIST Image Recognition Using Kernels Based on Logistic Map Andrei Velichko 33 44 0 04 Jun 2020
Communication-Efficient Edge AI: Algorithms and Systems Yuanming Shi Kai Yang Tao Jiang Jun Zhang Khaled B. Letaief GNN 17 326 0 22 Feb 2020
Smart Surveillance as an Edge Network Service: from Harr-Cascade, SVM to a Lightweight CNN S. Nikouei Yu Chen Sejun Song Ronghua Xu Baek-Young Choi Timothy R. Faughnan 37 83 0 24 Apr 2018