Cover Image

Mobility-Aware Decentralized Federated Learning with Joint Optimization of Local Iteration and Leader Selection for Vehicular Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Dongyu, Deng, Tao, Jia, Juncheng, Feng, Siwei, Yuan, Di
Format:	Preprint
Published:	2025
Subjects:	Networking and Internet Architecture
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mobility-Aware Multi-Task Decentralized Federated Learning for Vehicular Networks: Modeling, Analysis, and Optimization
by: Chen, Dongyu, et al.
Published: (2025)

Mobility-Aware Federated Self-supervised Learning in Vehicular Network
by: Gu, Xueying, et al.
Published: (2024)

Optimizing Vehicular Users Association in Urban Mobile Networks
by: Ramos, Geymerson S., et al.
Published: (2024)

Velocity-Adaptive Access Scheme for Semantic-Aware Vehicular Networks: Joint Fairness and AoI Optimization
by: Xu, Xiao, et al.
Published: (2025)

DeViNE: A Decentralized Virtual Network Embedding Algorithm
by: Habibi, Farzad, et al.
Published: (2025)

Decentralized AI Service Placement, Selection and Routing in Mobile Networks
by: Zhang, Jinkun, et al.
Published: (2025)

QoS-Aware Radio Access Technology (RAT) Selection in Hybrid Vehicular Networks
by: Mir, Zeeshan Hameed, et al.
Published: (2025)

Optimizing NOMA Transmissions to Advance Federated Learning in Vehicular Networks
by: Chen, Ziru, et al.
Published: (2024)

Enhanced Velocity-Adaptive Scheme: Joint Fair Access and Age of Information Optimization in Vehicular Networks
by: Xu, Xiao, et al.
Published: (2025)

Optimized Federated Multitask Learning in Mobile Edge Networks: A Hybrid Client Selection and Model Aggregation Approach
by: Hamood, Moqbel, et al.
Published: (2024)

Digital Twin-Enabled Mobility-Aware Cooperative Caching in Vehicular Edge Computing
by: Zeng, Jiahao, et al.
Published: (2026)

LLP-V2X: Low Latency-Power Vehicular Networking Towards 6G V2X
by: Liu, Zhaoyu, et al.
Published: (2025)

Demystifying Starlink Network Performance under Vehicular Mobility with Dynamic Beam Switching
by: Zhao, Jinwei, et al.
Published: (2026)

Adaptive Federated Learning in Heterogeneous Wireless Networks with Independent Sampling
by: Geng, Jiaxiang, et al.
Published: (2024)

Leader Selection and Follower Association for UE-centric Distributed Learning in Future Wireless Networks
by: Parsaeefard, Saeedeh, et al.
Published: (2024)

SCALE: Sensitivity-Aware Federated Unlearning with Information Freshness Optimization for Mobile Edge Computing
by: Ding, Zihao, et al.
Published: (2026)

A Centrality Approach to Select Offloading Data Aggregation Points in Vehicular Sensor Networks
by: Moura, Douglas, et al.
Published: (2024)

Enhancing Vehicular Platooning with Wireless Federated Learning: A Resource-Aware Control Framework
by: Wu, Beining, et al.
Published: (2025)

Joint Routing and Model Pruning for Decentralized Federated Learning in Bandwidth-Constrained Multi-Hop Wireless Networks
by: He, Xiaoyu, et al.
Published: (2026)

Jointly Optimizing Terahertz based Sensing and Communications in Vehicular Networks: A Dynamic Graph Neural Network Approach
by: Li, Xuefei, et al.
Published: (2024)

Joint Clustering and Prediction of the Quality of Service in Vehicular Cellular Networks
by: Stenhammar, Oscar, et al.
Published: (2026)

Comparative Study of Simulators for Vehicular Networks
by: Saghir, Rida, et al.
Published: (2024)

Hierarchical Online Optimization Approach for IRS-enabled Low-altitude MEC in Vehicular Networks
by: Wang, Yixian, et al.
Published: (2025)

RAILS: Risk-Aware Iterated Local Search for Joint SLA Decomposition and Service Provider Management in Multi-Domain Networks
by: Hsu, Cyril Shih-Huan, et al.
Published: (2025)

Deep Reinforcement Learning for Delay-Optimized Task Offloading in Vehicular Fog Computing
by: Toopchinezhad, Mohammad Parsa, et al.
Published: (2024)

Joint Explainability and Sensitivity-Aware Federated Deep Learning for Transparent 6G RAN Slicing
by: Roy, Swastika, et al.
Published: (2023)

Trust-Aware Sybil Attack Detection for Resilient Vehicular Communication
by: Thomas, Mortan, et al.
Published: (2024)

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses
by: Wen, Xinru, et al.
Published: (2024)

Knowledge Base Aware Semantic Communication in Vehicular Networks
by: Xia, Le, et al.
Published: (2023)

Joint Mobile IAB Node Positioning and Scheduler Selection in Locations With Substantial Obstacles
by: Correia, Paulo Furtado, et al.
Published: (2024)

OpenCLAW-Nexus: A Self-Reinforcing Trust Framework for Byzantine-Resilient Decentralized Federated Learning
by: Jia, Wenyang, et al.
Published: (2026)

Federated Reinforcement Learning to Optimize Teleoperated Driving Networks
by: Bragato, Filippo, et al.
Published: (2024)

On the Optimization of Model Aggregation for Federated Learning at the Network Edge
by: Li, Mengyao, et al.
Published: (2025)

Digital Twin Enabled Data-Driven Approach for Traffic Efficiency and Software-Defined Vehicular Network Optimization
by: Shahriar, Mohammad Sajid, et al.
Published: (2024)

Joint Optimization of DNN Model Caching and Request Routing in Mobile Edge Computing
by: Qiu, Shuting, et al.
Published: (2025)

JPPO++: Joint Power and Denoising-inspired Prompt Optimization for Mobile LLM Services
by: You, Feiran, et al.
Published: (2024)

Joint Power and Mobility Control
by: Hou, Yun, et al.
Published: (2025)

Overlay-based Decentralized Federated Learning in Bandwidth-limited Networks
by: Huang, Yudi, et al.
Published: (2024)

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method
by: Zhang, Ruichen, et al.
Published: (2025)

Joint Computing Resource Allocation and Task Offloading in Vehicular Fog Computing Systems Under Asymmetric Information
by: Sun, Geng, et al.
Published: (2025)