Saved in:
| Main Authors: | Xiang, Tianao, Zhi, Mingjian, Bi, Yuanguo, Cai, Lin, Chen, Yuhao |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.09025 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Federated Nested Learning: Collaborative Training of Self-Referential Memories for Test-Time Adaptation
by: Chen, Hong, et al.
Published: (2026)
by: Chen, Hong, et al.
Published: (2026)
HEART: Achieving Timely Multi-Model Training for Vehicle-Edge-Cloud-Integrated Hierarchical Federated Learning
by: Yang, Xiaohong, et al.
Published: (2025)
by: Yang, Xiaohong, et al.
Published: (2025)
Machine Learning-Based Vehicle Intention Trajectory Recognition and Prediction for Autonomous Driving
by: Yu, Hanyi, et al.
Published: (2024)
by: Yu, Hanyi, et al.
Published: (2024)
Personalized Federated Distillation Assisted Vehicle Edge Caching Strategy
by: Li, Xun, et al.
Published: (2025)
by: Li, Xun, et al.
Published: (2025)
Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving
by: Kou, Wei-Bin, et al.
Published: (2024)
by: Kou, Wei-Bin, et al.
Published: (2024)
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving
by: Zheng, Zhi, et al.
Published: (2024)
by: Zheng, Zhi, et al.
Published: (2024)
A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining
by: Lin, Yuanguo, et al.
Published: (2023)
by: Lin, Yuanguo, et al.
Published: (2023)
ROAD: Responsibility-Oriented Reward Design for Reinforcement Learning in Autonomous Driving
by: Chen, Yongming, et al.
Published: (2025)
by: Chen, Yongming, et al.
Published: (2025)
Exploiting Prior Knowledge in Preferential Learning of Individualized Autonomous Vehicle Driving Styles
by: Theiner, Lukas, et al.
Published: (2025)
by: Theiner, Lukas, et al.
Published: (2025)
Poisoning Attacks on Federated Learning for Autonomous Driving
by: Garg, Sonakshi, et al.
Published: (2024)
by: Garg, Sonakshi, et al.
Published: (2024)
HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving
by: Chen, Zhiwen, et al.
Published: (2025)
by: Chen, Zhiwen, et al.
Published: (2025)
Adversarial Robustness Analysis of Cloud-Assisted Autonomous Driving Systems
by: Islam, Maher Al, et al.
Published: (2026)
by: Islam, Maher Al, et al.
Published: (2026)
Anti-Byzantine Attacks Enabled Vehicle Selection for Asynchronous Federated Learning in Vehicular Edge Computing
by: Zhang, Cui, et al.
Published: (2024)
by: Zhang, Cui, et al.
Published: (2024)
Reliable LLM-Based Edge-Cloud-Expert Cascades for Telecom Knowledge Systems
by: Hou, Qiushuo, et al.
Published: (2025)
by: Hou, Qiushuo, et al.
Published: (2025)
FedDSR: Federated Deep Supervision and Regularization Towards Autonomous Driving
by: Kou, Wei-Bin, et al.
Published: (2025)
by: Kou, Wei-Bin, et al.
Published: (2025)
Towards Optimal Customized Architecture for Heterogeneous Federated Learning with Contrastive Cloud-Edge Model Decoupling
by: Chen, Xingyan, et al.
Published: (2024)
by: Chen, Xingyan, et al.
Published: (2024)
STRAP: Spatial-Temporal Risk-Attentive Vehicle Trajectory Prediction for Autonomous Driving
by: Ning, Xinyi, et al.
Published: (2025)
by: Ning, Xinyi, et al.
Published: (2025)
EdgeFLow: Serverless Federated Learning via Sequential Model Migration in Edge Networks
by: Shi, Yuchen, et al.
Published: (2026)
by: Shi, Yuchen, et al.
Published: (2026)
ELSA: Efficient LLM-Centric Split Aggregation for Privacy-Aware Hierarchical Federated Learning over the Network Edge
by: Yang, Xiaohong, et al.
Published: (2026)
by: Yang, Xiaohong, et al.
Published: (2026)
5G enabled Mobile Edge Computing security for Autonomous Vehicles
by: D'Costa, Daryll Ralph, et al.
Published: (2022)
by: D'Costa, Daryll Ralph, et al.
Published: (2022)
Lane-Frame Quantum Multimodal Driving Forecasts for the Trajectory of Autonomous Vehicles
by: Singh, Navneet, et al.
Published: (2025)
by: Singh, Navneet, et al.
Published: (2025)
Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving
by: Kou, Wei-Bin, et al.
Published: (2023)
by: Kou, Wei-Bin, et al.
Published: (2023)
Few-for-Many Personalized Federated Learning
by: Guo, Ping, et al.
Published: (2026)
by: Guo, Ping, et al.
Published: (2026)
Explainability and Continual Learning meet Federated Learning at the Network Edge
by: Tsouparopoulos, Thomas, et al.
Published: (2025)
by: Tsouparopoulos, Thomas, et al.
Published: (2025)
AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks
by: Lin, Zheng, et al.
Published: (2024)
by: Lin, Zheng, et al.
Published: (2024)
PP-TIL: Personalized Planning for Autonomous Driving with Instance-based Transfer Imitation Learning
by: Lin, Fangze, et al.
Published: (2024)
by: Lin, Fangze, et al.
Published: (2024)
Quant-dLLM: Post-Training Extreme Low-Bit Quantization for Diffusion Large Language Models
by: Zhang, Tianao, et al.
Published: (2025)
by: Zhang, Tianao, et al.
Published: (2025)
Automatic Clustering for Unsupervised Risk Diagnosis of Vehicle Driving for Smart Road
by: Shi, Xiupeng, et al.
Published: (2020)
by: Shi, Xiupeng, et al.
Published: (2020)
Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach
by: Fan, Junchao, et al.
Published: (2025)
by: Fan, Junchao, et al.
Published: (2025)
Cloud-Fog-Edge Collaborative Computing for Sequential MIoT Workflow: A Two-Tier DDPG-Based Scheduling Framework
by: Fu, Yuhao, et al.
Published: (2025)
by: Fu, Yuhao, et al.
Published: (2025)
Towards Efficient Federated Learning of Networked Mixture-of-Experts for Mobile Edge Computing
by: Gao, Song, et al.
Published: (2025)
by: Gao, Song, et al.
Published: (2025)
Distributed Deep Reinforcement Learning Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing
by: Zhang, Cui, et al.
Published: (2024)
by: Zhang, Cui, et al.
Published: (2024)
SHFL: Secure Hierarchical Federated Learning Framework for Edge Networks
by: Tavallaie, Omid, et al.
Published: (2024)
by: Tavallaie, Omid, et al.
Published: (2024)
SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving
by: Chen, Chuang, et al.
Published: (2025)
by: Chen, Chuang, et al.
Published: (2025)
Learning to Drive by Imitating Surrounding Vehicles
by: Sonmez, Yasin, et al.
Published: (2025)
by: Sonmez, Yasin, et al.
Published: (2025)
Lightweight Federated Learning over Wireless Edge Networks
by: Hou, Xiangwang, et al.
Published: (2025)
by: Hou, Xiangwang, et al.
Published: (2025)
Research on Autonomous Driving Decision-making Strategies based Deep Reinforcement Learning
by: Wang, Zixiang, et al.
Published: (2024)
by: Wang, Zixiang, et al.
Published: (2024)
EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems
by: Meng, Dian, et al.
Published: (2025)
by: Meng, Dian, et al.
Published: (2025)
Energy-Efficient Federated Edge Learning For Small-Scale Datasets in Large IoT Networks
by: Xie, Haihui, et al.
Published: (2026)
by: Xie, Haihui, et al.
Published: (2026)
Security of Deep Reinforcement Learning for Autonomous Driving: A Survey
by: Demontis, Ambra, et al.
Published: (2022)
by: Demontis, Ambra, et al.
Published: (2022)
Similar Items
-
Federated Nested Learning: Collaborative Training of Self-Referential Memories for Test-Time Adaptation
by: Chen, Hong, et al.
Published: (2026) -
HEART: Achieving Timely Multi-Model Training for Vehicle-Edge-Cloud-Integrated Hierarchical Federated Learning
by: Yang, Xiaohong, et al.
Published: (2025) -
Machine Learning-Based Vehicle Intention Trajectory Recognition and Prediction for Autonomous Driving
by: Yu, Hanyi, et al.
Published: (2024) -
Personalized Federated Distillation Assisted Vehicle Edge Caching Strategy
by: Li, Xun, et al.
Published: (2025) -
Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving
by: Kou, Wei-Bin, et al.
Published: (2024)