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Toward Intelligent Vehicular Networks: A Machine Learning Framework

Toward Intelligent Vehicular Networks: A Machine Learning Framework

1 April 2018
Le Liang
Hao Ye
Geoffrey Ye Li
ArXivPDFHTML

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

11 / 11 papers shown
Title
VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular
  Federated Learning
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
57
1
0
30 Nov 2023
Highly Accurate and Reliable Wireless Network Slicing in 5th Generation
  Networks: A Hybrid Deep Learning Approach
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
16
45
0
07 Oct 2021
Vehicle to Vehicle (V2V) Communication Protocol: Components, Benefits,
  Challenges, Safety and Machine Learning Applications
Vehicle to Vehicle (V2V) Communication Protocol: Components, Benefits, Challenges, Safety and Machine Learning Applications
Ramya Daddanala
Vekata Mannava
L. Tawalbeh
M. Al-Ramahi
10
8
0
15 Feb 2021
Distributed Online Learning with Multiple Kernels
Distributed Online Learning with Multiple Kernels
Jeongmin Chae
Songnam Hong
26
28
0
17 Nov 2020
LIMITS: Lightweight Machine Learning for IoT Systems with Resource
  Limitations
LIMITS: Lightweight Machine Learning for IoT Systems with Resource Limitations
Benjamin Sliwa
Nico Piatkowski
Christian Wietfeld
17
39
0
28 Jan 2020
Learn to Compress CSI and Allocate Resources in Vehicular Networks
Learn to Compress CSI and Allocate Resources in Vehicular Networks
Liang Wang
Hao Ye
Le Liang
Geoffrey Ye Li
28
39
0
12 Aug 2019
Machine Learning at the Network Edge: A Survey
Machine Learning at the Network Edge: A Survey
M. G. Sarwar Murshed
Chris Murphy
Daqing Hou
Nazar Khan
Ganesh Ananthanarayanan
Faraz Hussain
40
378
0
31 Jul 2019
Deep Reinforcement Learning for Autonomous Internet of Things: Model,
  Applications and Challenges
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
26
202
0
22 Jul 2019
Deep Learning based Wireless Resource Allocation with Application to
  Vehicular Networks
Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks
Le Liang
Hao Ye
Guanding Yu
Geoffrey Ye Li
30
195
0
07 Jul 2019
Securing Connected & Autonomous Vehicles: Challenges Posed by
  Adversarial Machine Learning and The Way Forward
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
27
187
0
29 May 2019
Stabilising Experience Replay for Deep Multi-Agent Reinforcement
  Learning
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Nantas Nardelli
Gregory Farquhar
Triantafyllos Afouras
Philip Torr
Pushmeet Kohli
Shimon Whiteson
OffRL
134
596
0
28 Feb 2017
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