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Publication search results
found 46 matches
- 2024
- Jialin Hao
, Rola Naja, Djamal Zeghlache:
Adaptive federated reinforcement learning for critical realtime communications in UAV assisted vehicular networks. Comput. Networks 247: 110456 (2024) - Nehal Baganal Krishna
, Ralf Lübben
, Eirini Liotou, Konstantinos V. Katsaros, Amr Rizk
:
A federated learning approach to QoS forecasting in cellular vehicular communications: Approaches and empirical evidence. Comput. Networks 242: 110239 (2024) - Xu Zhao
, Yichuan Wu, Tianhao Zhao, Feiyu Wang, Maozhen Li:
Federated deep reinforcement learning for task offloading and resource allocation in mobile edge computing-assisted vehicular networks. J. Netw. Comput. Appl. 229: 103941 (2024) - Xiaohan Yuan
, Jiqiang Liu
, Bin Wang, Wei Wang
, Bin Wang, Tao Li
, Xiaobo Ma, Witold Pedrycz:
FedComm: A Privacy-Enhanced and Efficient Authentication Protocol for Federated Learning in Vehicular Ad-Hoc Networks. IEEE Trans. Inf. Forensics Secur. 19: 777-792 (2024) - Yilong Hui
, Jie Hu, Nan Cheng
, Gaosheng Zhao
, Rui Chen
, Tom H. Luan
, Khalid Aldubaikhy
:
RCFL: Redundancy-Aware Collaborative Federated Learning in Vehicular Networks. IEEE Trans. Intell. Transp. Syst. 25(6): 5539-5553 (2024) - Maoqiang Wu
, Guoliang Cheng
, Dongdong Ye
, Jiawen Kang
, Rong Yu, Yuan Wu, Miao Pan
:
Federated Split Learning With Data and Label Privacy Preservation in Vehicular Networks. IEEE Trans. Veh. Technol. 73(1): 1223-1238 (2024) - Bo Xu
, Haitao Zhao, Haotong Cao, Xiaozhen Lu
, Hongbo Zhu
:
Joint Contract Design and Task Reorganization for Semi-Decentralized Federated Edge Learning in Vehicular Networks. IEEE Trans. Veh. Technol. 73(7): 10539-10553 (2024) - Sawsan AbdulRahman
, Ouns Bouachir, Safa Otoum, Azzam Mourad
:
CRAS-FL: Clustered resource-aware scheme for federated learning in vehicular networks. Veh. Commun. 47: 100769 (2024) - Saniya Zafar
, Sobia Jangsher, Adnan Zafar
:
Federated learning for resource allocation in vehicular edge computing-enabled moving small cell networks. Veh. Commun. 45: 100695 (2024) - Ahmad Khalil, Majid Lotfian Delouee, Victoria Degeler
, Tobias Mcuser, Antonio Fernandez Anta, Boris Koldehofe:
Driving Towards Efficiency: Adaptive Resource-Aware Clustered Federated Learning in Vehicular Networks. MedComNet 2024: 1-10 - M. Saeid HaghighiFard, Sinem Coleri:
Secure Hierarchical Federated Learning in Vehicular Networks Using Dynamic Client Selection and Anomaly Detection. VNC 2024: 41-48 - Muhammad Waqas Nawaz, Muhammad Ali Imran, Olaoluwa R. Popoola:
Temporal Hierarchical Clustering for Knowledge Aggregation in Connected Vehicular Networks with Federated Multi-Task Learning. WCNC 2024: 1-6 - Tan Chen, Jintao Yan, Yuxuan Sun, Sheng Zhou, Deniz Gündüz, Zhisheng Niu:
Mobility Accelerates Learning: Convergence Analysis on Hierarchical Federated Learning in Vehicular Networks. CoRR abs/2401.09656 (2024) - M. Saeid HaghighiFard, Sinem Coleri:
Secure Hierarchical Federated Learning in Vehicular Networks Using Dynamic Client Selection and Anomaly Detection. CoRR abs/2405.17497 (2024) - 2023
- Qichao Xu
, Lifeng Zhao, Zhou Su
, Dongfeng Fang
, Ruidong Li
:
Secure Federated Learning in Quantum Autonomous Vehicular Networks. IEEE Netw. 37(6): 240-247 (2023) - Chao Pan
, Zhao Wang
, Haijun Liao
, Zhenyu Zhou
, Xiaoyan Wang
, Muhammad Tariq
, Sattam Al Otaibi
:
Asynchronous Federated Deep Reinforcement Learning-Based URLLC-Aware Computation Offloading in Space-Assisted Vehicular Networks. IEEE Trans. Intell. Transp. Syst. 24(7): 7377-7389 (2023) - Mina Montazeri
, Hamed Kebriaei
, Babak Nadjar Araabi
, Jiawen Kang
, Dusit Niyato
:
Distributed Mechanism Design in Continuous Space for Federated Learning Over Vehicular Networks. IEEE Trans. Veh. Technol. 72(4): 4196-4206 (2023) - Giang H. Pham, Hoang D. Le, Thanh V. Pham, Chuyen T. Nguyen, Anh T. Pham:
Energy-Efficient Federated Learning-enabled Digital Twin in UAV-aided Vehicular Networks. APCC 2023: 113-119 - Feyzi Ege Kumec, Aslihan Reyhanoglu, Emrah Kar, Bugra Turan, Sinem Coleri
, Mehdi Bennis, Anis Elgabli, Deniz Gündüz, Sercan Karaagac:
Federated Learning for Pedestrian Detection in Vehicular Networks. BlackSeaCom 2023: 150-154 - Mahtab Movahedian, Mahdi Dolati, Majid Ghaderi:
Adaptive Model Aggregation for Decentralized Federated Learning in Vehicular Networks. CNSM 2023: 1-9 - Engin Zeydan, Luis Blanco, Josep Mangues, Suayb S. Arslan
, Yekta Turk:
Blockchain-Based Self-Sovereign Identity for Federated Learning in Vehicular Networks. CNSM 2023: 1-7 - Engin Zeydan, Josep Mangues, Suayb S. Arslan
, Yekta Turk:
Self-Sovereign Identity Management for Hierarchical Federated Learning in Vehicular Networks. HPSR 2023: 191-196 - Rui Cao, Zhengchang Song, Bingxin Niu, Junhua Gu, Chunjie Li:
Distributed Task Offloading Method Based on Federated Reinforcement Learning in Vehicular Networks with Incomplete Information. ICA3PP (4) 2023: 102-118 - Qichao Xu, Yulin Lan, Zhou Su, Dongfeng Fang, Hongbing Zhang:
Verifiable and Privacy-Preserving Cooperative Federated Learning in UAV-Assisted Vehicular Networks. ICC 2023: 2288-2293 - Jiaming Yu, Shaochuan Wu, Le Liang, Shi Jin:
Resource Allocation in Vehicular Networks Based on Federated Multi-Agent Reinforcement Learning. ICCT 2023: 84-89 - Bo Xu, Haitao Zhao, Haiguang Lai, Xiaozhen Lu:
Similarity-aware Contract Design for Multi-task Federated Learning in Vehicular Networks. MSN 2023: 744-749 - Chen-Khong Tham, Lu Yang, Akshit Khanna, Bhavya Gera:
Federated Learning for Anomaly Detection in Vehicular Networks. VTC2023-Spring 2023: 1-6 - 2022
- Narisu Cha, Zhaoyang Du
, Celimuge Wu
, Tsutomu Yoshinaga
, Lei Zhong
, Jing Ma, Fuqiang Liu, Yusheng Ji
:
Fuzzy Logic Based Client Selection for Federated Learning in Vehicular Networks. IEEE Open J. Comput. Soc. 3: 39-50 (2022) - Abdul Rehman Javed
, Muhammad Abul Hassan
, Faisal Shahzad
, Waqas Ahmed
, Saurabh Singh
, Thar Baker
, Thippa Reddy Gadekallu
:
Integration of Blockchain Technology and Federated Learning in Vehicular (IoT) Networks: A Comprehensive Survey. Sensors 22(12): 4394 (2022) - Su Liu
, Jiong Yu, Xiaoheng Deng
, Shaohua Wan
:
FedCPF: An Efficient-Communication Federated Learning Approach for Vehicular Edge Computing in 6G Communication Networks. IEEE Trans. Intell. Transp. Syst. 23(2): 1616-1629 (2022)
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