ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2308.10407
  4. Cited By
Federated Learning for Connected and Automated Vehicles: A Survey of
  Existing Approaches and Challenges

Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges

21 August 2023
Vishnu Pandi Chellapandi
Liangqi Yuan
Christopher G. Brinton
Stanislaw H. .Zak
Ziran Wang
    FedML
ArXivPDFHTML

Papers citing "Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges"

32 / 32 papers shown
Title
Federated Learning for Cyber Physical Systems: A Comprehensive Survey
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
34
0
0
08 May 2025
Probabilistic Segmentation for Robust Field of View Estimation
R. S. Hallyburton
David Hunt
Yiwei He
Judy He
Miroslav Pajic
47
0
0
10 Mar 2025
Privacy-preserving Machine Learning in Internet of Vehicle Applications: Fundamentals, Recent Advances, and Future Direction
Nazmul Islam
Mohammad Zulkernine
40
0
0
03 Mar 2025
Fine-Tuning Federated Learning-Based Intrusion Detection Systems for Transportation IoT
Robert Akinie
Nana Kankam Gyimah
Mansi Bhavsar
John Kelly
73
0
0
10 Feb 2025
Safeguarding connected autonomous vehicle communication: Protocols, intra- and inter-vehicular attacks and defenses
Safeguarding connected autonomous vehicle communication: Protocols, intra- and inter-vehicular attacks and defenses
Mohammed Aledhari
Rehma Razzak
Mohamed Rahouti
Abbas Yazdinejad
R. Parizi
Basheer Qolomany
Mohsen Guizani
Junaid Qadir
Ala I. Al-Fuqaha
AAML
125
1
0
06 Feb 2025
Decentralized Low-Rank Fine-Tuning of Large Language Models
Sajjad Ghiasvand
Mahnoosh Alizadeh
Ramtin Pedarsani
ALM
61
0
0
26 Jan 2025
Combining Federated Learning and Control: A Survey
Combining Federated Learning and Control: A Survey
Jakob Weber
Markus Gurtner
A. Lobe
Adrian Trachte
Andreas Kugi
FedML
AI4CE
19
2
0
12 Jul 2024
Impact of Network Topology on Byzantine Resilience in Decentralized
  Federated Learning
Impact of Network Topology on Byzantine Resilience in Decentralized Federated Learning
Siddhartha Bhattacharya
Daniel Helo
Joshua Siegel
50
0
0
06 Jul 2024
On the Federated Learning Framework for Cooperative Perception
On the Federated Learning Framework for Cooperative Perception
Zhenrong Zhang
Jianan Liu
Xi Zhou
Tao Huang
Qing-Long Han
Jingxin Liu
Hongbin Liu
FedML
21
1
0
26 Apr 2024
When Cars meet Drones: Hyperbolic Federated Learning for Source-Free
  Domain Adaptation in Adverse Weather
When Cars meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse Weather
Giulia Rizzoli
Matteo Caligiuri
Donald Shenaj
F. Barbato
Pietro Zanuttigh
22
0
0
20 Mar 2024
FedNMUT -- Federated Noisy Model Update Tracking Convergence Analysis
FedNMUT -- Federated Noisy Model Update Tracking Convergence Analysis
Vishnu Pandi Chellapandi
Antesh Upadhyay
Abolfazl Hashemi
Stanislaw H. .Zak
FedML
20
0
0
20 Mar 2024
On the Conflict of Robustness and Learning in Collaborative Machine
  Learning
On the Conflict of Robustness and Learning in Collaborative Machine Learning
Mathilde Raynal
Carmela Troncoso
16
2
0
21 Feb 2024
A Review of Full-Sized Autonomous Racing Vehicle Sensor Architecture
A Review of Full-Sized Autonomous Racing Vehicle Sensor Architecture
Manuel Mar
Vishnu Pandi Chellapandi
Liangqi Yuan
Ziran Wang
Eric Dietz
13
2
0
04 Feb 2024
Communication-Efficient Multimodal Federated Learning: Joint Modality
  and Client Selection
Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection
Liangqi Yuan
Dong-Jun Han
Su Wang
Devesh Upadhyay
Christopher G. Brinton
23
10
0
30 Jan 2024
Communication-Efficient Soft Actor-Critic Policy Collaboration via
  Regulated Segment Mixture in Internet of Vehicles
Communication-Efficient Soft Actor-Critic Policy Collaboration via Regulated Segment Mixture in Internet of Vehicles
Xiaoxue Yu
Rongpeng Li
Chengchao Liang
Zhifeng Zhao
14
0
0
15 Dec 2023
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
17
1
0
30 Nov 2023
FedMFS: Federated Multimodal Fusion Learning with Selective Modality
  Communication
FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication
Liangqi Yuan
Dong-Jun Han
Vishnu Pandi Chellapandi
Stanislaw H. .Zak
Christopher G. Brinton
14
10
0
10 Oct 2023
V2X Cooperative Perception for Autonomous Driving: Recent Advances and
  Challenges
V2X Cooperative Perception for Autonomous Driving: Recent Advances and Challenges
Tao Huang
Jianan Liu
Xi Zhou
Dinh C. Nguyen
M. R. Azghadi
Yuxuan Xia
Qing-Long Han
Sumei Sun
44
35
0
05 Oct 2023
Digital Ethics in Federated Learning
Digital Ethics in Federated Learning
Liangqi Yuan
Ziran Wang
Christopher G. Brinton
12
3
0
04 Oct 2023
Decentralized Federated Learning: A Survey and Perspective
Decentralized Federated Learning: A Survey and Perspective
Liangqi Yuan
Ziran Wang
Lichao Sun
Philip S. Yu
Christopher G. Brinton
FedML
30
74
0
02 Jun 2023
Vehicle as a Service (VaaS): Leverage Vehicles to Build Service Networks
  and Capabilities for Smart Cities
Vehicle as a Service (VaaS): Leverage Vehicles to Build Service Networks and Capabilities for Smart Cities
Xianhao Chen
Yiqin Deng
Haichuan Ding
Guanqiao Qu
Haixia Zhang
P. Li
Yuguang Fang
GNN
32
40
0
22 Apr 2023
V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle
  Cooperative Perception
V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perception
Runsheng Xu
Xin Xia
Jinlong Li
Hanzhao Li
Shuo Zhang
...
Xiaoyu Dong
Rui Song
Hongkai Yu
Bolei Zhou
Jiaqi Ma
47
146
0
14 Mar 2023
Enhanced Decentralized Federated Learning based on Consensus in
  Connected Vehicles
Enhanced Decentralized Federated Learning based on Consensus in Connected Vehicles
Xiaoyan Liu
Zehui Dong
Zhiwei Xu
Siyuan Liu
Jie Tian
11
5
0
22 Sep 2022
Privacy Preserving Machine Learning for Electric Vehicles: A Survey
Privacy Preserving Machine Learning for Electric Vehicles: A Survey
Abdul Rahman Sani
M. Hassan
Jinjun Chen
14
10
0
17 May 2022
V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision
  Transformer
V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer
Runsheng Xu
Hao Xiang
Zhengzhong Tu
Xin Xia
Ming-Hsuan Yang
Jiaqi Ma
ViT
98
356
0
20 Mar 2022
Communication-Efficient Stochastic Zeroth-Order Optimization for
  Federated Learning
Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning
Wenzhi Fang
Ziyi Yu
Yuning Jiang
Yuanming Shi
Colin N. Jones
Yong Zhou
FedML
68
53
0
24 Jan 2022
A Deep Learning Perspective on Connected Automated Vehicle (CAV)
  Cybersecurity and Threat Intelligence
A Deep Learning Perspective on Connected Automated Vehicle (CAV) Cybersecurity and Threat Intelligence
M. Basnet
Mohd. Hasan Ali
8
7
0
22 Sep 2021
A Field Guide to Federated Optimization
A Field Guide to Federated Optimization
Jianyu Wang
Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
...
Mi Zhang
Tong Zhang
Chunxiang Zheng
Chen Zhu
Wennan Zhu
FedML
160
358
0
14 Jul 2021
Video action recognition for lane-change classification and prediction
  of surrounding vehicles
Video action recognition for lane-change classification and prediction of surrounding vehicles
Mahdi Biparva
David Fernández-Llorca
Rubén Izquierdo-Gonzalo
John K. Tsotsos
18
46
0
13 Jan 2021
Opportunities of Federated Learning in Connected, Cooperative and
  Automated Industrial Systems
Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems
S. Savazzi
M. Nicoli
M. Bennis
Sanaz Kianoush
Luca Barbieri
FedML
AIFin
AI4CE
31
124
0
09 Jan 2021
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
130
1,663
0
14 Apr 2018
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
210
13,886
0
02 Dec 2016
1