Image de couverture de livre

DNN Partitioning, Task Offloading, and Resource Allocation in Dynamic Vehicular Networks: A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Liu, Zhang, Du, Hongyang, Lin, Junzhe, Gao, Zhibin, Huang, Lianfen, Hosseinalipour, Seyyedali, Niyato, Dusit
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach for UAV-Assisted Vehicular Networks with Delayed CSI Feedback
par: Liu, Zhang, et autres
Publié: (2025)

Joint Model Caching and Resource Allocation in Generative AI-Enabled Wireless Edge Networks
par: Liu, Zhang, et autres
Publié: (2024)

Two-Timescale Model Caching and Resource Allocation for Edge-Enabled AI-Generated Content Services
par: Liu, Zhang, et autres
Publié: (2024)

Digital Twin-Assisted Task Offloading and Resource Allocation in ISAC-Enabled Internet of Vehicles
par: Zhan, Shanhao, et autres
Publié: (2025)

Online Collaborative Resource Allocation and Task Offloading for Multi-access Edge Computing
par: Sun, Geng, et autres
Publié: (2025)

Generative AI for Lyapunov Optimization Theory in UAV-based Low-Altitude Economy Networking
par: Liu, Zhang, et autres
Publié: (2025)

Joint Computing Resource Allocation and Task Offloading in Vehicular Fog Computing Systems Under Asymmetric Information
par: Sun, Geng, et autres
Publié: (2025)

An Overlapping Coalition Game Approach for Collaborative Block Mining and Edge Task Offloading in MEC-assisted Blockchain Networks
par: Ye, Licheng, et autres
Publié: (2025)

Digital Twin Vehicular Edge Computing Network: Task Offloading and Resource Allocation
par: Xie, Yu, et autres
Publié: (2024)

Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks
par: Du, Baoxia, et autres
Publié: (2025)

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method
par: Zhang, Ruichen, et autres
Publié: (2025)

AI-Empowered RIS-Assisted Networks: CV-Enabled RIS Selection and DNN-Enabled Transmission
par: Hu, Conggang, et autres
Publié: (2024)

DRL Optimization Trajectory Generation via Wireless Network Intent-Guided Diffusion Models for Optimizing Resource Allocation
par: Wu, Junjie, et autres
Publié: (2024)

Seamless Graph Task Scheduling over Dynamic Vehicular Clouds: A Hybrid Methodology for Integrating Pilot and Instantaneous Decisions
par: Guo, Bingshuo, et autres
Publié: (2025)

Diffusion-Modeled Reinforcement Learning for Carbon and Risk-Aware Microgrid Optimization
par: Zhao, Yunyi, et autres
Publié: (2025)

Task Offloading and Resource Allocation for MEC-assisted Consumer Internet of Vehicle Systems
par: Liu, Yanheng, et autres
Publié: (2025)

Empowering AI-Native 6G Wireless Networks with Quantum Federated Learning
par: Shaon, Shaba, et autres
Publié: (2025)

Graph Diffusion-Based AeBS Deployment and Resource Allocation for RSMA-Enabled URLLC Low-Altitude Economy Networks
par: Wang, Xudong, et autres
Publié: (2025)

Hybrid-Generative Diffusion Models for Attack-Oriented Twin Migration in Vehicular Metaverses
par: Kang, Yingkai, et autres
Publié: (2024)

Secure Resource Allocation via Constrained Deep Reinforcement Learning
par: Sun, Jianfei, et autres
Publié: (2025)

Model Partition and Resource Allocation for Split Learning in Vehicular Edge Networks
par: Yu, Lu, et autres
Publié: (2024)

Hierarchical Federated Foundation Models over Wireless Networks for Multi-Modal Multi-Task Intelligence: Integration of Edge Learning with D2D/P2P-Enabled Fog Learning Architectures
par: Abdisarabshali, Payam, et autres
Publié: (2025)

Orchestrating Federated Learning in Space-Air-Ground Integrated Networks: Adaptive Data Offloading and Seamless Handover
par: Han, Dong-Jun, et autres
Publié: (2024)

Multi-attribute Auction-based Resource Allocation for Twins Migration in Vehicular Metaverses: A GPT-based DRL Approach
par: Tong, Yongju, et autres
Publié: (2024)

Energy-Aware Task Offloading for Rotatable STAR-RIS-Enhanced Mobile Edge Computing Systems
par: Yang, Dongdong, et autres
Publié: (2025)

Resource-Constrained Decentralized Federated Learning via Personalized Event-Triggering
par: Zehtabi, Shahryar, et autres
Publié: (2022)

RE-MCDF: Closed-Loop Multi-Expert LLM Reasoning for Knowledge-Grounded Clinical Diagnosis
par: Shen, Shaowei, et autres
Publié: (2026)

Resource Allocation for Near-Field Communications: Fundamentals, Tools, and Outlooks
par: Xu, Bokai, et autres
Publié: (2023)

Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions
par: Borazjani, Kasra, et autres
Publié: (2025)

A Dynamic Improvement Framework for Vehicular Task Offloading
par: Li, Qianren, et autres
Publié: (2025)

Long-Term or Temporary? Hybrid Worker Recruitment for Mobile Crowd Sensing and Computing
par: Liwang, Minghui, et autres
Publié: (2022)

Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks
par: Wang, Su, et autres
Publié: (2023)

Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design
par: Liu, Peng, et autres
Publié: (2025)

Robust DNN Partitioning and Resource Allocation Under Uncertain Inference Time
par: Nan, Zhaojun, et autres
Publié: (2025)

Resource Allocation for XR with Edge Offloading: A Reinforcement Learning Approach
par: Duru, Alperen, et autres
Publié: (2025)

Mixture of Experts for Network Optimization: A Large Language Model-enabled Approach
par: Du, Hongyang, et autres
Publié: (2024)

Spatiotemporal Link Formation Prediction in Social Learning Networks Using Graph Neural Networks
par: Mohammadiasl, Ali, et autres
Publié: (2026)

Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading
par: Xu, Minrui, et autres
Publié: (2025)

Elastic Federated Learning over Open Radio Access Network (O-RAN) for Concurrent Execution of Multiple Distributed Learning Tasks
par: Abdisarabshali, Payam, et autres
Publié: (2023)

Adaptive DNN Partitioning and Offloading in Heterogeneous Edge-Cloud Continuum
par: Deng, Akuen Akoi, et autres
Publié: (2026)