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V2X-Boosted Federated Learning for Cooperative Intelligent
  Transportation Systems with Contextual Client Selection

V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection

19 May 2023
Rui Song
Lingjuan Lyu
Wei Jiang
Andreas Festag
Alois C. Knoll
ArXivPDFHTML

Papers citing "V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection"

11 / 11 papers shown
Title
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
FL-DABE-BC: A Privacy-Enhanced, Decentralized Authentication, and Secure
  Communication for Federated Learning Framework with Decentralized
  Attribute-Based Encryption and Blockchain for IoT Scenarios
FL-DABE-BC: A Privacy-Enhanced, Decentralized Authentication, and Secure Communication for Federated Learning Framework with Decentralized Attribute-Based Encryption and Blockchain for IoT Scenarios
Sathwik Narkedimilli
Amballa Venkata Sriram
Satvik Raghav
19
0
0
26 Oct 2024
FL-DECO-BC: A Privacy-Preserving, Provably Secure, and
  Provenance-Preserving Federated Learning Framework with Decentralized Oracles
  on Blockchain for VANETs
FL-DECO-BC: A Privacy-Preserving, Provably Secure, and Provenance-Preserving Federated Learning Framework with Decentralized Oracles on Blockchain for VANETs
Dr Sathwik Narkedimilli
Rayachoti Arun Kumar
N. V. S. Kumar
Ramapathruni Praneeth Reddy
Pavan Kumar
13
1
0
30 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
29
2
0
26 Apr 2024
Measuring Data Similarity for Efficient Federated Learning: A
  Feasibility Study
Measuring Data Similarity for Efficient Federated Learning: A Feasibility Study
Fernanda Famá
Charalampos Kalalas
Sandra Lagen
Paolo Dini
FedML
14
3
0
12 Mar 2024
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
52
36
0
05 Oct 2023
Towards Vehicle-to-everything Autonomous Driving: A Survey on
  Collaborative Perception
Towards Vehicle-to-everything Autonomous Driving: A Survey on Collaborative Perception
Sishuo Liu
Chen Gao
Yuan-Hsin Chen
Xingyu Peng
Xianghao Kong
...
Runsheng Xu
Wentao Jiang
Hao Xiang
Jiaqi Ma
Miao Wang
33
39
0
31 Aug 2023
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
Vishnu Pandi Chellapandi
Liangqi Yuan
Christopher G. Brinton
Stanislaw H. .Zak
Ziran Wang
FedML
27
75
0
21 Aug 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
59
148
0
14 Mar 2023
Where2comm: Communication-Efficient Collaborative Perception via Spatial
  Confidence Maps
Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps
Yue Hu
Shaoheng Fang
Zixing Lei
Yiqi Zhong
Siheng Chen
61
222
0
26 Sep 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
101
361
0
20 Mar 2022
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