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Toward Intelligent Vehicular Networks: A Machine Learning Framework

1 April 2018

Le Liang

Hao Ye

Geoffrey Ye Li

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Papers citing "Toward Intelligent Vehicular Networks: A Machine Learning Framework"

27 / 27 papers shown

Title
Mobility Accelerates Learning: Convergence Analysis on Hierarchical Federated Learning in Vehicular Networks Tan Chen Jintao Yan Yuxuan Sun Sheng Zhou Deniz Gündüz Z. Niu FedML 80 10 0 18 Jan 2024
VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning Luca Ballotta Nicolò Dal Fabbro Giovanni Perin Luca Schenato Michele Rossi Giuseppe Piro 98 1 0 30 Nov 2023
Learner Referral for Cost-Effective Federated Learning Over Hierarchical IoT Networks Yulan Gao Ziqiang Ye Yue Xiao Wei Xiang FedML 30 1 0 19 Jul 2023
Data-Heterogeneous Hierarchical Federated Learning with Mobility Tan Chen Jintao Yan Yuxuan Sun Sheng Zhou Deniz Gunduz Z. Niu FedML 103 3 0 19 Jun 2023
Blockchained Federated Learning for Internet of Things: A Comprehensive Survey Yanna Jiang Baihe Ma Xu Wang Ping Yu Guangsheng Yu Zhe Wang Weiquan Ni R. Liu AI4CE 85 28 0 08 May 2023
Vertical Federated Learning over Cloud-RAN: Convergence Analysis and System Optimization Yuanming Shi Shuhao Xia Yong Zhou Yijie Mao Chunxiao Jiang M. Tao FedML 79 16 0 04 May 2023
Boost Decentralized Federated Learning in Vehicular Networks by Diversifying Data Sources Dongyuan Su Yipeng Zhou Laizhong Cui FedML 62 12 0 05 Sep 2022
A Joint Framework to Privacy-Preserving Edge Intelligence in Vehicular Networks Muhammad Firdaus Kyung-Hyune Rhee 72 7 0 18 Aug 2022
Highly Accurate and Reliable Wireless Network Slicing in 5th Generation Networks: A Hybrid Deep Learning Approach Sulaiman Khan Suleman Khan Yasir Ali Muhammad Khalid Z. Ullah S. Mumtaz 21 49 0 07 Oct 2021
Machine Learning for Security in Vehicular Networks: A Comprehensive Survey Anum Talpur M. Gurusamy 53 63 0 31 May 2021
Vehicle to Vehicle (V2V) Communication Protocol: Components, Benefits, Challenges, Safety and Machine Learning Applications Ramya Daddanala Vekata Mannava L. Tawalbeh M. Al-Ramahi 26 10 0 15 Feb 2021
Distributed Online Learning with Multiple Kernels Jeongmin Chae Songnam Hong 70 29 0 17 Nov 2020
Federated Learning in Vehicular Networks Ahmet M. Elbir Burak Soner Sinem Coleri Deniz Gunduz M. Bennis 91 168 0 02 Jun 2020
Machine Learning Systems for Intelligent Services in the IoT: A Survey Wiebke Toussaint Aaron Yi Ding LRM 77 0 0 29 May 2020
Usage of Network Simulators in Machine-Learning-Assisted 5G/6G Networks F. Wilhelmi Marc Carrascosa C. Cano Anders Jonsson V. Ram B. Bellalta 34 31 0 17 May 2020
LIMITS: Lightweight Machine Learning for IoT Systems with Resource Limitations Benjamin Sliwa Nico Piatkowski Christian Wietfeld 46 40 0 28 Jan 2020
Syndrome-Enabled Unsupervised Learning for Neural Network-Based Polar Decoder and Jointly Optimized Blind Equalizer Chieh-Fang Teng Yen-Liang Chen 45 1 0 06 Jan 2020
Deep Learning for MIMO Channel Estimation: Interpretation, Performance, and Comparison Qiang Hu Feifei Gao Hao Zhang Shi Jin Geoffrey Ye Li 36 10 0 05 Nov 2019
Unsupervised Learning for Neural Network-based Polar Decoder via Syndrome Loss Chieh-Fang Teng A. Wu 19 0 0 05 Nov 2019
Reliable Federated Learning for Mobile Networks Jiawen Kang Zehui Xiong Dusit Niyato Y. Zou Yang Zhang Mohsen Guizani FedML 55 468 0 14 Oct 2019
Learn to Compress CSI and Allocate Resources in Vehicular Networks Liang Wang Hao Ye Le Liang Geoffrey Ye Li 47 39 0 12 Aug 2019
Machine Learning at the Network Edge: A Survey M. G. Sarwar Murshed Chris Murphy Daqing Hou Nazar Khan Ganesh Ananthanarayanan Faraz Hussain 92 391 0 31 Jul 2019
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges Lei Lei Yue Tan Kan Zheng Shiwen Liu K. Zheng Xuemin Shen Shen OffRL 81 204 0 22 Jul 2019
Learning the Wireless V2I Channels Using Deep Neural Networks Tian-Hao Li Muhammad R. A. Khandaker Faisal Tariq Kai‐Kit Wong R. T. Khan 23 17 0 10 Jul 2019
Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks Le Liang Hao Ye Guanding Yu Geoffrey Ye Li 71 200 0 07 Jul 2019
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward A. Qayyum Muhammad Usama Junaid Qadir Ala I. Al-Fuqaha AAML 89 191 0 29 May 2019
Machine Learning in the Air Deniz Gunduz Paul de Kerret N. Sidiropoulos David Gesbert C. Murthy M. Schaar AI4CE 58 196 0 28 Apr 2019