2025
Optimizing AIGC Services by Prompt Engineering and Edge Computing: A Generative Diffusion Model-Based Contract Theory Approach.
IEEE Trans. Veh. Technol., January, 2025
FLCSDet: Federated Learning-Driven Cross-Spatial Vessel Detection for Maritime Surveillance With Privacy Preservation.
IEEE Trans. Intell. Transp. Syst., January, 2025
Large Language Models for Networking: Applications, Enabling Techniques, and Challenges.
IEEE Netw., January, 2025
Generative AI for Low-Carbon Artificial Intelligence of Things with Large Language Models.
IEEE Internet Things Mag., January, 2025
DRL-Enhanced Vehicular Edge Caching Addressing Content Dynamics and Complex Intersections.
IEEE Internet Things J., January, 2025
Series Editorial: Network Softwarization and Management.
IEEE Commun. Mag., January, 2025
An adaptive asynchronous federated learning framework for heterogeneous Internet of things.
Inf. Sci., 2025
A Model Value Transfer Incentive Mechanism for Federated Learning With Smart Contracts in AIoT.
IEEE Internet Things J., 2025
Efficient Prompting for LLM-Based Generative Internet of Things.
IEEE Internet Things J., 2025
Digital-Twin-Assisted Safety Control for Connected Automated Vehicles in Mixed-Autonomy Traffic.
IEEE Internet Things J., 2025
A Collaborative Programmable LFA Defense Using Temporal Graph Learning in AIoT.
IEEE Internet Things J., 2025
Dynamic Weighted Energy Minimization for Aerial Edge Computing Networks.
IEEE Internet Things J., 2025
2024
Generative AI for Space-Air-Ground Integrated Networks.
IEEE Wirel. Commun., December, 2024
When Large Language Model Agents Meet 6G Networks: Perception, Grounding, and Alignment.
IEEE Wirel. Commun., December, 2024
Compressing Deep Reinforcement Learning Networks With a Dynamic Structured Pruning Method for Autonomous Driving.
IEEE Trans. Veh. Technol., December, 2024
Heterogeneous Broadcast Signcryption Scheme With Equality Test for IoVs.
IEEE Trans. Veh. Technol., December, 2024
Cloud-Edge-End Collaborative Intelligent Service Computation Offloading: A Digital Twin Driven Edge Coalition Approach for Industrial IoT.
IEEE Trans. Netw. Serv. Manag., December, 2024
Energy-Efficient Resource Allocation in Generative AI-Aided Secure Semantic Mobile Networks.
IEEE Trans. Mob. Comput., December, 2024
Dynamic Human Digital Twin Deployment at the Edge for Task Execution: A Two-Timescale Accuracy-Aware Online Optimization.
IEEE Trans. Mob. Comput., December, 2024
Multi-Objective Optimization for Multi-UAV-Assisted Mobile Edge Computing.
IEEE Trans. Mob. Comput., December, 2024
Cross-Modal Generative Semantic Communications for Mobile AIGC: Joint Semantic Encoding and Prompt Engineering.
IEEE Trans. Mob. Comput., December, 2024
ProSecutor: Protecting Mobile AIGC Services on Two-Layer Blockchain via Reputation and Contract Theoretic Approaches.
IEEE Trans. Mob. Comput., December, 2024
FedASA: A Personalized Federated Learning With Adaptive Model Aggregation for Heterogeneous Mobile Edge Computing.
IEEE Trans. Mob. Comput., December, 2024
Adaptive Clustering-Based Straggler-Aware Federated Learning in Wireless Edge Networks.
IEEE Trans. Commun., December, 2024
Graph Attention Network-Based Block Propagation With Optimal AoB and Reputation in Web 3.0.
IEEE Trans. Cogn. Commun. Netw., December, 2024
Generative AI Agents With Large Language Model for Satellite Networks via a Mixture of Experts Transmission.
IEEE J. Sel. Areas Commun., December, 2024
Collaborative Ground-Space Communications via Evolutionary Multi-Objective Deep Reinforcement Learning.
IEEE J. Sel. Areas Commun., December, 2024
FedSAP: Secure Federated Learning in SDN-IoT via DRL-Enabled Social Attribute Perception.
IEEE Internet Things J., December, 2024
FedGroup-Prune: IoT Device Amicable and Training-Efficient Federated Learning via Combined Group Lasso Sparse Model Pruning.
IEEE Internet Things J., December, 2024
Digital Twin Edge Services With Proximity-Aware Longitudinal Lane Changing Model for Connected Vehicles.
IEEE Trans. Veh. Technol., November, 2024
D-Tracking: Digital Twin Enabled Trajectory Tracking System of Autonomous Vehicles.
IEEE Trans. Veh. Technol., November, 2024
A Unified Framework for Guiding Generative AI With Wireless Perception in Resource Constrained Mobile Edge Networks.
IEEE Trans. Mob. Comput., November, 2024
Interactive AI With Retrieval-Augmented Generation for Next Generation Networking.
IEEE Netw., November, 2024
The Age of Generative AI and AI-Generated Everything.
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IEEE Netw., November, 2024
A Revolution of Personalized Healthcare: Enabling Human Digital Twin With Mobile AIGC.
IEEE Netw., November, 2024
When Metaverses Meet Vehicle Road Cooperation: Multiagent DRL-Based Stackelberg Game for Vehicular Twins Migration.
IEEE Internet Things J., November, 2024
Blockchain-Based Pseudonym Management for Vehicle Twin Migrations in Vehicular Edge Metaverse.
IEEE Internet Things J., November, 2024
Generative-AI-Driven Human Digital Twin in IoT Healthcare: A Comprehensive Survey.
IEEE Internet Things J., November, 2024
Generative AI for Integrated Sensing and Communication: Insights From the Physical Layer Perspective.
IEEE Wirel. Commun., October, 2024
Hybrid Beamforming Toward Positioning Enhancement Under Cellular MIMO Systems.
IEEE Trans. Wirel. Commun., October, 2024
Joint Optimization of Model Partition and Resource Allocation for Split Federated Learning Over Vehicular Edge Networks.
IEEE Trans. Veh. Technol., October, 2024
Joint Energy and Completion Time Difference Minimization for UAV-Enabled Intelligent Transportation Systems: A Constrained Multi-Objective Optimization Approach.
IEEE Trans. Intell. Transp. Syst., October, 2024
Generative Artificial Intelligence Assisted Wireless Sensing: Human Flow Detection in Practical Communication Environments.
IEEE J. Sel. Areas Commun., October, 2024
Joint UAV Trajectory and Power Allocation With Hybrid FSO/RF for Secure Space-Air-Ground Communications.
IEEE Internet Things J., October, 2024
EPDB: An Efficient and Privacy-Preserving Electric Charging Scheme in Internet of Robotic Things.
IEEE Internet Things J., October, 2024
Artificial Intelligence for Web 3.0: A Comprehensive Survey.
ACM Comput. Surv., October, 2024
Generative AI-Enabled Mobile Tactical Multimedia Networks: Distribution, Generation, and Perception.
IEEE Commun. Mag., October, 2024
Acceleration Estimation of Signal Propagation Path Length Changes for Wireless Sensing.
IEEE Trans. Wirel. Commun., September, 2024
Diffusion-Based Reinforcement Learning for Edge-Enabled AI-Generated Content Services.
IEEE Trans. Mob. Comput., September, 2024
Semantic Communications for Artificial Intelligence Generated Content (AIGC) Toward Effective Content Creation.
IEEE Netw., September, 2024
Optimizing Mobile-Edge AI-Generated Everything (AIGX) Services by Prompt Engineering: Fundamental, Framework, and Case Study.
IEEE Netw., September, 2024
Federated Learning-Empowered AI-Generated Content in Wireless Networks.
IEEE Netw., September, 2024
Securing Federated Diffusion Model With Dynamic Quantization for Generative AI Services in Multiple-Access Artificial Intelligence of Things.
IEEE Internet Things J., September, 2024
Guiding AI-Generated Digital Content with Wireless Perception.
IEEE Wirel. Commun., August, 2024
Deep Generative Model and Its Applications in Efficient Wireless Network Management: A Tutorial and Case Study.
IEEE Wirel. Commun., August, 2024
Resource-Efficient Generative Mobile Edge Networks in 6G Era: Fundamentals, Framework and Case Study.
IEEE Wirel. Commun., August, 2024
Adversarial Attacks on Vision-Language Model-Empowered Chatbots in Consumer Electronics.
IEEE Trans. Consumer Electron., August, 2024
Identifier-Driven Resource Orchestration With Quantum Computing for Differentiated Services in IoT-MMEC Networks.
IEEE Trans. Veh. Technol., July, 2024
Generative AI-Enabled Vehicular Networks: Fundamentals, Framework, and Case Study.
IEEE Netw., July, 2024
Large-Scale Deterministic Networks: Architecture, Enabling Technologies, Case Study, and Future Directions.
IEEE Netw., July, 2024
Secure Semantic Communications: Challenges, Approaches, and Opportunities.
IEEE Netw., July, 2024
A Unified Framework for Integrating Semantic Communication and AI-Generated Content in Metaverse.
IEEE Netw., July, 2024
Blockchain-Empowered Lifecycle Management for AI-Generated Content Products in Edge Networks.
IEEE Wirel. Commun., June, 2024
Enabling AI-Generated Content Services in Wireless Edge Networks.
IEEE Wirel. Commun., June, 2024
Resource Allocation and Common Message Selection for Task-Oriented Semantic Information Transmission With RSMA.
IEEE Trans. Wirel. Commun., June, 2024
Trust Management of Tiny Federated Learning in Internet of Unmanned Aerial Vehicles.
IEEE Internet Things J., June, 2024
Tiny Multiagent DRL for Twins Migration in UAV Metaverses: A Multileader Multifollower Stackelberg Game Approach.
IEEE Internet Things J., June, 2024
DecFFD: A Personalized Federated Learning Framework for Cross-Location Fault Diagnosis.
IEEE Trans. Ind. Informatics, May, 2024
Exploring Collaborative Distributed Diffusion-Based AI-Generated Content (AIGC) in Wireless Networks.
IEEE Netw., May, 2024
From Generative AI to Generative Internet of Things: Fundamentals, Framework, and Outlooks.
IEEE Internet Things Mag., May, 2024
Joint Path Selection, Energy Trading, and Task Offloading in Electric Vehicle Charging and Computing Network.
IEEE Internet Things J., May, 2024
A Unified Blockchain-Semantic Framework for Wireless Edge Intelligence Enabled Web 3.0.
IEEE Wirel. Commun., April, 2024
Reliable High Throughput Aerial Acoustic Communication for Mobile Network.
IEEE Trans. Veh. Technol., April, 2024
Heterogeneous Data-Aware Federated Learning for Intrusion Detection Systems via Meta-Sampling in Artificial Intelligence of Things.
IEEE Internet Things J., April, 2024
Decentralized Multimedia Data Sharing in IoV: A Learning-Based Equilibrium of Supply and Demand.
IEEE Trans. Veh. Technol., March, 2024
When Quantum Information Technologies Meet Blockchain in Web 3.0.
IEEE Netw., March, 2024
EPViSA: Efficient Auction Design for Real-Time Physical-Virtual Synchronization in the Human-Centric Metaverse.
IEEE J. Sel. Areas Commun., March, 2024
MADDPG-Based Joint Service Placement and Task Offloading in MEC Empowered Air-Ground Integrated Networks.
IEEE Internet Things J., March, 2024
Blockchain-Empowered Federated Learning for Healthcare Metaverses: User-Centric Incentive Mechanism With Optimal Data Freshness.
IEEE Trans. Cogn. Commun. Netw., February, 2024
Cooperative Resource Management in Quantum Key Distribution (QKD) Networks for Semantic Communication.
IEEE Internet Things J., February, 2024
UAV-Assisted Dynamic Avatar Task Migration for Vehicular Metaverse Services: A Multi-Agent Deep Reinforcement Learning Approach.
IEEE CAA J. Autom. Sinica, February, 2024
Federated Split Learning With Data and Label Privacy Preservation in Vehicular Networks.
IEEE Trans. Veh. Technol., January, 2024
Through the Wall Detection and Localization of Autonomous Mobile Device in Indoor Scenario.
IEEE J. Sel. Areas Commun., January, 2024
Multiagent Deep Reinforcement Learning for Dynamic Avatar Migration in AIoT-Enabled Vehicular Metaverses With Trajectory Prediction.
IEEE Internet Things J., January, 2024
Elastic Collaborative Edge Intelligence for UAV Swarm: Architecture, Challenges, and Opportunities.
IEEE Commun. Mag., January, 2024
Paramart: Parallel Resource Allocation Based on Blockchain Sharding for Edge-Cloud Services.
IEEE Trans. Serv. Comput., 2024
An Enhanced Block Validation Framework With Efficient Consensus for Secure Consortium Blockchains.
IEEE Trans. Serv. Comput., 2024
Blockchain-Based Efficient and Trustworthy AIGC Services in Metaverse.
IEEE Trans. Serv. Comput., 2024
Blockchain-Based Semantic Information Sharing and Pricing for Web 3.0.
IEEE Trans. Netw. Sci. Eng., 2024
Partially shared federated multiview learning.
Knowl. Based Syst., 2024
Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses.
CoRR, 2024
Toward Democratized Generative AI in Next-Generation Mobile Edge Networks.
CoRR, 2024
Generative AI for Data Augmentation in Wireless Networks: Analysis, Applications, and Case Study.
CoRR, 2024
Diffusion-based Auction Mechanism for Efficient Resource Management in 6G-enabled Vehicular Metaverses.
CoRR, 2024
MetaTrading: An Immersion-Aware Model Trading Framework for Vehicular Metaverse Services.
CoRR, 2024
Generative Diffusion-based Contract Design for Efficient AI Twins Migration in Vehicular Embodied AI Networks.
CoRR, 2024
Optimizing Resource Allocation for Multi-modal Semantic Communication in Mobile AIGC Networks: A Diffusion-based Game Approach.
CoRR, 2024
Toward Mixture-of-Experts Enabled Trustworthy Semantic Communication for 6G Networks.
CoRR, 2024
Generative AI in Data Center Networking: Fundamentals, Perspectives, and Case Study.
CoRR, 2024
Sustainable Diffusion-based Incentive Mechanism for Generative AI-driven Digital Twins in Industrial Cyber-Physical Systems.
CoRR, 2024
Hybrid-Generative Diffusion Models for Attack-Oriented Twin Migration in Vehicular Metaverses.
CoRR, 2024
Learning-based Power Control for Secure Covert Semantic Communication.
CoRR, 2024
Hybrid RAG-empowered Multi-modal LLM for Secure Healthcare Data Management: A Diffusion-based Contract Theory Approach.
CoRR, 2024
Hierarchical Micro-Segmentations for Zero-Trust Services via Large Language Model (LLM)-enhanced Graph Diffusion.
CoRR, 2024
QoE Maximization for Multiple-UAV-Assisted Multi-Access Edge Computing: An Online Joint Optimization Approach.
CoRR, 2024
Privacy-preserving Pseudonym Schemes for Personalized 3D Avatars in Mobile Social Metaverses.
CoRR, 2024
Diffusion-based Reinforcement Learning for Dynamic UAV-assisted Vehicle Twins Migration in Vehicular Metaverses.
CoRR, 2024
Multi-attribute Auction-based Resource Allocation for Twins Migration in Vehicular Metaverses: A GPT-based DRL Approach.
CoRR, 2024
Generative AI for Deep Reinforcement Learning: Framework, Analysis, and Use Cases.
CoRR, 2024
Optimizing Generative AI Networking: A Dual Perspective with Multi-Agent Systems and Mixture of Experts.
CoRR, 2024
Empowering Wireless Networks with Artificial Intelligence Generated Graph.
CoRR, 2024
Enhancing Physical Layer Communication Security through Generative AI with Mixture of Experts.
CoRR, 2024
Generative AI for Low-Carbon Artificial Intelligence of Things.
CoRR, 2024
Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey.
CoRR, 2024
Generative AI for Advanced UAV Networking.
CoRR, 2024
Generative AI for Game Theory-based Mobile Networking.
CoRR, 2024
Interactive Generative AI Agents for Satellite Networks through a Mixture of Experts Transmission.
CoRR, 2024
Fusion of Mixture of Experts and Generative Artificial Intelligence in Mobile Edge Metaverse.
CoRR, 2024
Defining Problem from Solutions: Inverse Reinforcement Learning (IRL) and Its Applications for Next-Generation Networking.
CoRR, 2024
Graph Attention Network-based Block Propagation with Optimal AoI and Reputation in Web 3.0.
CoRR, 2024
Freshness-aware Block Propagation Optimization in 6G-based Web 3.0: An Evolutionary Game Approach.
CoRR, 2024
Cached Model-as-a-Resource: Provisioning Large Language Model Agents for Edge Intelligence in Space-air-ground Integrated Networks.
CoRR, 2024
A Unified Framework for Underwater Metaverse with Optical Perception.
CoRR, 2024
Generative AI for Unmanned Vehicle Swarms: Challenges, Applications and Opportunities.
CoRR, 2024
Generative AI for Secure Physical Layer Communications: A Survey.
CoRR, 2024
Mixture of Experts for Network Optimization: A Large Language Model-enabled Approach.
CoRR, 2024
Toward Scalable Generative AI via Mixture of Experts in Mobile Edge Networks.
CoRR, 2024
Tiny Multi-Agent DRL for Twins Migration in UAV Metaverses: A Multi-Leader Multi-Follower Stackelberg Game Approach.
CoRR, 2024
Generative AI-enabled Quantum Computing Networks and Intelligent Resource Allocation.
CoRR, 2024
Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services.
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IEEE Commun. Surv. Tutorials, 2024
Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization.
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IEEE Commun. Surv. Tutorials, 2024
Lightweight adaptive Byzantine fault tolerant consensus algorithm for distributed energy trading.
Comput. Networks, 2024
Privacy computing meets metaverse: Necessity, taxonomy and challenges.
Ad Hoc Networks, 2024
Incentive and Dynamic Client Selection for Federated Unlearning.
Proceedings of the ACM on Web Conference 2024, 2024
Denoising Diffusion Model-Based Channel Estimation in IRS-Assisted ISAC Systems.
Proceedings of the 16th International Conference on Wireless Communications and Signal Processing, 2024
Towards Secrecy Energy-Efficient RIS Aided UAV Network: A Lyapunov-Guided Reinforcement Learning Approach.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024
Task Offloading and Primary Node Selection in Blockchain, Digital Twin, and MEC Enabled Internet of Vehicles.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024
One-shot-but-not-degraded Federated Learning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Optimizing Information Propagation for Blockchain-empowered Mobile AIGC: A Graph Attention Network Approach.
Proceedings of the International Wireless Communications and Mobile Computing, 2024
Mixture of Experts for Intelligent Networks: A Large Language Model-enabled Approach.
Proceedings of the International Wireless Communications and Mobile Computing, 2024
SG-FCB: A Stackelberg Game-Driven Fair Committee-Based Blockchain Consensus Protocol.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024
Regulating Covert Communication Capacity with Full-Duplex Receiver Against Location-Uncertain Eavesdropper.
Proceedings of the International Conference on Computing, Networking and Communications, 2024
Reinforcement Learning with Large Language Models (LLMs) Interaction for Network Services.
Proceedings of the International Conference on Computing, Networking and Communications, 2024
QoE Maximization for Video Streaming in Cache-Enable Satellite-UAV-Terrestrial Network.
Proceedings of the IEEE International Conference on Communications, 2024
Fluid Antenna Relay Assisted Communication Systems Through Antenna Location Optimization.
Proceedings of the IEEE International Conference on Communications Workshops, 2024
Straggler-Aware Federated Learning Based on Adaptive Clustering to Support Edge Intelligence.
Proceedings of the IEEE International Conference on Communications, 2024
Deep Reinforcement Learning-Based Moving Target Defense for Multicast in Software-Defined Satellite Networks.
Proceedings of the IEEE International Conference on Communications, 2024
On-demand Quantization for Green Federated Generative Diffusion in Mobile Edge Networks.
Proceedings of the IEEE International Conference on Communications, 2024
Generative Al-aided Joint Training-free Secure Semantic Communications via Multi-modal Prompts.
Proceedings of the IEEE International Conference on Acoustics, 2024
Deep Reinforcement Learning based Multi-attribute Auction Model for Resource Allocation in Vehicular AIGC Services.
Proceedings of the 2024 International Conference on Generative Artificial Intelligence and Information Security, 2024
2023
Quantum-Secured Space-Air-Ground Integrated Networks: Concept, Framework, and Case Study.
IEEE Wirel. Commun., December, 2023
Sparks of Generative Pretrained Transformers in Edge Intelligence for the Metaverse: Caching and Inference for Mobile Artificial Intelligence-Generated Content Services.
IEEE Veh. Technol. Mag., December, 2023
Haze Visibility Enhancement for Promoting Traffic Situational Awareness in Vision-Enabled Intelligent Transportation.
IEEE Trans. Veh. Technol., December, 2023
Survey on the scheme evaluation, opportunities and challenges of software defined-information centric network.
IET Commun., December, 2023
Blockchain-assisted twin migration for vehicular metaverses: A game theory approach.
Trans. Emerg. Telecommun. Technol., December, 2023
Privacy Attacks and Defenses for Digital Twin Migrations in Vehicular Metaverses.
IEEE Netw., November, 2023
Exploring Attention-Aware Network Resource Allocation for Customized Metaverse Services.
IEEE Netw., November, 2023
Rethinking Quality of Experience for Metaverse Services: A Consumer-Based Economics Perspective.
IEEE Netw., November, 2023
Service Reservation and Pricing for Green Metaverses: A Stackelberg Game Approach.
IEEE Wirel. Commun., October, 2023
Snowball: Energy Efficient and Accurate Federated Learning With Coarse-to-Fine Compression Over Heterogeneous Wireless Edge Devices.
IEEE Trans. Wirel. Commun., October, 2023
DRL-Based Adaptive Sharding for Blockchain-Based Federated Learning.
IEEE Trans. Commun., October, 2023
When Moving Target Defense Meets Attack Prediction in Digital Twins: A Convolutional and Hierarchical Reinforcement Learning Approach.
IEEE J. Sel. Areas Commun., October, 2023
PURE: Passive Multi-Person Identification via Footstep for Mobile Service Networks.
IEEE Trans. Veh. Technol., September, 2023
Generative AI-Empowered Simulation for Autonomous Driving in Vehicular Mixed Reality Metaverses.
IEEE J. Sel. Top. Signal Process., September, 2023
AI-Generated Incentive Mechanism and Full-Duplex Semantic Communications for Information Sharing.
IEEE J. Sel. Areas Commun., September, 2023
Adversarial Attacks and Defenses for Semantic Communication in Vehicular Metaverses.
IEEE Wirel. Commun., August, 2023
Semantic-Aware Sensing Information Transmission for Metaverse: A Contest Theoretic Approach.
IEEE Trans. Wirel. Commun., August, 2023
Semantic Communication-Based Dynamic Resource Allocation in D2D Vehicular Networks.
IEEE Trans. Veh. Technol., August, 2023
Covert Federated Learning via Intelligent Reflecting Surfaces.
IEEE Trans. Commun., August, 2023
QoE Analysis and Resource Allocation for Wireless Metaverse Services.
IEEE Trans. Commun., August, 2023
Semantic Communications for Wireless Sensing: RIS-Aided Encoding and Self-Supervised Decoding.
IEEE J. Sel. Areas Commun., August, 2023
Blockchains for Artificial Intelligence of Things: A Comprehensive Survey.
IEEE Internet Things J., August, 2023
Slicing4Meta: An Intelligent Integration Architecture with Multi-Dimensional Network Resources for Metaverse-as-a-Service in Web 3.0.
IEEE Commun. Mag., August, 2023
A Blockchain-Based Semantic Exchange Framework for Web 3.0 Toward Participatory Economy.
IEEE Commun. Mag., August, 2023
Attention-Aware Resource Allocation and QoE Analysis for Metaverse xURLLC Services.
IEEE J. Sel. Areas Commun., July, 2023
Understanding Security in Smart City Domains From the ANT-Centric Perspective.
IEEE Internet Things J., July, 2023
Rethinking Wireless Communication Security in Semantic Internet of Things.
IEEE Wirel. Commun., June, 2023
An Improved Spectrum Trading Design Based on Dynamic Credit Aggregate-Signature Blockchain.
IEEE Wirel. Commun. Lett., April, 2023
Distributed Mechanism Design in Continuous Space for Federated Learning Over Vehicular Networks.
IEEE Trans. Veh. Technol., April, 2023
Efficient Consensus and Elastic Resource Allocation Empowered Blockchain for Vehicular Networks.
IEEE Trans. Veh. Technol., April, 2023
Robust Semisupervised Federated Learning for Images Automatic Recognition in Internet of Drones.
IEEE Internet Things J., April, 2023
Privacy-Preserving Intelligent Resource Allocation for Federated Edge Learning in Quantum Internet.
IEEE J. Sel. Top. Signal Process., January, 2023
Reliable Distributed Computing for Metaverse: A Hierarchical Game-Theoretic Approach.
IEEE Trans. Veh. Technol., 2023
Securing Federated Learning: A Covert Communication-Based Approach.
IEEE Netw., 2023
Personalized Saliency in Task-Oriented Semantic Communications: Image Transmission and Performance Analysis.
IEEE J. Sel. Areas Commun., 2023
Connectivity-Aware Contract for Incentivizing IoT Devices in Complex Wireless Blockchain.
IEEE Internet Things J., 2023
Joint Interdependent Task Scheduling and Energy Balancing for Multi-UAV-Enabled Aerial Edge Computing: A Multiobjective Optimization Approach.
IEEE Internet Things J., 2023
When Metaverses Meet Vehicle Road Cooperation: Multi-Agent DRL-Based Stackelberg Game for Vehicular Twins Migration.
CoRR, 2023
User-Centric Interactive AI for Distributed Diffusion Model-based AI-Generated Content.
CoRR, 2023
Generative AI for Space-Air-Ground Integrated Networks (SAGIN).
CoRR, 2023
Artificial Intelligence for Web 3.0: A Comprehensive Survey.
CoRR, 2023
Generative AI-aided Joint Training-free Secure Semantic Communications via Multi-modal Prompts.
CoRR, 2023
Dual Auction Mechanism for Transaction Forwarding and Validation in Complex Wireless Blockchain Network.
CoRR, 2023
Beyond Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization.
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CoRR, 2023
Elastic Entangled Pair and Qubit Resource Management in Quantum Cloud Computing.
CoRR, 2023
Multi-Agent Deep Reinforcement Learning for Dynamic Avatar Migration in AIoT-enabled Vehicular Metaverses with Trajectory Prediction.
CoRR, 2023
Spear or Shield: Leveraging Generative AI to Tackle Security Threats of Intelligent Network Services.
CoRR, 2023
DADFNet: Dual Attention and Dual Frequency-Guided Dehazing Network for Video-Empowered Intelligent Transportation.
CoRR, 2023
Sparks of GPTs in Edge Intelligence for Metaverse: Caching and Inference for Mobile AIGC Services.
CoRR, 2023
Generative AI-aided Optimization for AI-Generated Content (AIGC) Services in Edge Networks.
CoRR, 2023
Building Resilient Web 3.0 with Quantum Information Technologies and Blockchain: An Ambilateral View.
CoRR, 2023
Blockchain-Empowered Lifecycle Management for AI-Generated Content (AIGC) Products in Edge Networks.
CoRR, 2023
Enabling AI-Generated Content (AIGC) Services in Wireless Edge Networks.
CoRR, 2023
A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges.
IEEE Commun. Surv. Tutorials, 2023
Machine Learning-Powered Encrypted Network Traffic Analysis: A Comprehensive Survey.
IEEE Commun. Surv. Tutorials, 2023
Multiple-Agent Deep Reinforcement Learning for Avatar Migration in Vehicular Metaverses.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
Lightweight Wireless Sensing Through RIS and Inverse Semantic Communications.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023
Stochastic Qubit Resource Allocation for Quantum Cloud Computing.
Proceedings of the NOMS 2023, 2023
Generative AI-empowered Effective Physical-Virtual Synchronization in the Vehicular Metaverse.
Proceedings of the IEEE International Conference on Metaverse Computing, 2023
Task Freshness-aware Incentive Mechanism for Vehicle Twin Migration in Vehicular Metaverses.
Proceedings of the IEEE International Conference on Metaverse Computing, 2023
Joining Edge-Enabled Metaverse Services with Network Externality: A Stackelberg Game Approach.
Proceedings of the IEEE International Conference on Metaverse Computing, 2023
AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices.
Proceedings of the IEEE INFOCOM 2023, 2023
Learning-based Incentive Mechanism for Task Freshness-aware Vehicular Twin Migration.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023
Freshness-aware Incentive Mechanism for Mobile AI-Generated Content (AIGC) Networks.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023
Learning-Based Sustainable Multi-User Computation Offloading for Mobile Edge-Quantum Computing.
Proceedings of the IEEE International Conference on Communications, 2023
Knowledge Base Aware Semantic Communication in Vehicular Networks.
Proceedings of the IEEE International Conference on Communications, 2023
FAST: Fidelity-Adjustable Semantic Transmission Over Heterogeneous Wireless Networks.
Proceedings of the IEEE International Conference on Communications, 2023
Interest-Based Semantic Information Transmission with RSMA in Smart Cities.
Proceedings of the IEEE International Conference on Communications, 2023
Joint Foundation Model Caching and Inference of Generative AI Services for Edge Intelligence.
Proceedings of the IEEE Global Communications Conference, 2023
Vision-based Semantic Communications for Metaverse Services: A Contest Theoretic Approach.
Proceedings of the IEEE Global Communications Conference, 2023
Performance Analysis of Free-Space Information Sharing in Full-Duplex Semantic Communications.
Proceedings of the IEEE Global Communications Conference, 2023
2022
6G-Enabled Edge AI for Metaverse: Challenges, Methods, and Future Research Directions.
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J. Commun. Inf. Networks, June, 2022
Constrained Multi-Objective Optimization for UAV-Enabled Mobile Edge Computing: Offloading Optimization and Path Planning.
IEEE Wirel. Commun. Lett., 2022
Secure and Reliable Transfer Learning Framework for 6G-Enabled Internet of Vehicles.
IEEE Wirel. Commun., 2022
Secure and Trusted Collaborative Learning Based on Blockchain for Artificial Intelligence of Things.
IEEE Wirel. Commun., 2022
Reconfigurable Intelligent Surface-Aided Joint Radar and Covert Communications: Fundamentals, Optimization, and Challenges.
IEEE Veh. Technol. Mag., 2022
Efficient Federated Learning With Spike Neural Networks for Traffic Sign Recognition.
IEEE Trans. Veh. Technol., 2022
Semi-Supervised Deep Adversarial Forest for Cross-Environment Localization.
IEEE Trans. Veh. Technol., 2022
Towards Communication-Efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things.
ACM Trans. Internet Techn., 2022
Communication-Efficient and Cross-Chain Empowered Federated Learning for Artificial Intelligence of Things.
IEEE Trans. Netw. Sci. Eng., 2022
Guest Editorial Introduction to the Special Section on Collaborative Machine Learning for Next-Generation Intelligent Applications.
IEEE Trans. Netw. Sci. Eng., 2022
Privacy-Preserving Anomaly Detection in Cloud Manufacturing Via Federated Transformer.
IEEE Trans. Ind. Informatics, 2022
When Information Freshness Meets Service Latency in Federated Learning: A Task-Aware Incentive Scheme for Smart Industries.
IEEE Trans. Ind. Informatics, 2022
Decentralized Energy Management for Wireless Power Transfer Assisted Platoon Autonomous Driving: A Leader-to-Follower Approach.
IEEE Trans. Green Commun. Netw., 2022
Fusing Blockchain and AI With Metaverse: A Survey.
IEEE Open J. Comput. Soc., 2022
Guest Editorial Special Issue on Intelligent Blockchain for Future Communications and Networking: Technologies, Trends, and Applications.
IEEE J. Sel. Areas Commun., 2022
Performance Analysis and Optimization for Jammer-Aided Multiantenna UAV Covert Communication.
IEEE J. Sel. Areas Commun., 2022
Multiagent Federated Reinforcement Learning for Secure Incentive Mechanism in Intelligent Cyber-Physical Systems.
IEEE Internet Things J., 2022
Secure Information Transmission for B5G HetNets: A Robust Game Approach.
IEEE Internet Things J., 2022
Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT.
IEEE Internet Things J., 2022
Federated Transfer Learning With Client Selection for Intrusion Detection in Mobile Edge Computing.
IEEE Commun. Lett., 2022
EPViSA: Efficient Auction Design for Real-time Physical-Virtual Synchronization in the Metaverse.
CoRR, 2022
Connectivity-Aware Contract for Incentivizing IoT Devices in Complex Wireless Blockchain Networks.
CoRR, 2022
DQC<sup>2</sup>O: Distributed Quantum Computing for Collaborative Optimization in Future Networks.
CoRR, 2022
Joint User Association and Resource Pricing for Metaverse: Distributed and Centralized Approaches.
CoRR, 2022
Slicing4Meta: An Intelligent Integration Framework with Multi-dimensional Network Resources for Metaverse-as-a-Service in Web 3.0.
CoRR, 2022
Rethinking Quality of Experience for Metaverse Services: A Consumer-based Economics Perspective.
CoRR, 2022
Performance Analysis and Optimization for Jammer-Aided Multi-Antenna UAV Covert Communication.
CoRR, 2022
Robust Semi-supervised Federated Learning for Images Automatic Recognition in Internet of Drones.
CoRR, 2022
Optimal Block Propagation and Incentive Mechanism for Blockchain Networks in 6G.
Proceedings of the IEEE International Conference on Trust, 2022
Joint Parking and Power Management for Electric Vehicle Edge Computing: A Bilevel Optimization Approach.
Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022
Lagrange Coded Federated Learning (L-CoFL) Model for Internet of Vehicles.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022
Wireless Edge-Empowered Metaverse: A Learning-Based Incentive Mechanism for Virtual Reality.
Proceedings of the IEEE International Conference on Communications, 2022
Covert Communication for Jammer-aided Multi-Antenna UAV Networks.
Proceedings of the IEEE International Conference on Communications, 2022
Optimal Targeted Advertising Strategy for Secure Wireless Edge Metaverse.
Proceedings of the IEEE Global Communications Conference, 2022
Blockchain-based Federated Learning for Industrial Metaverses: Incentive Scheme with Optimal AoI.
Proceedings of the IEEE International Conference on Blockchain, 2022
CrowdFL: A Marketplace for Crowdsourced Federated Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Optimizing Task Assignment for Reliable Blockchain-Empowered Federated Edge Learning.
IEEE Trans. Veh. Technol., 2021
Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach.
IEEE Trans. Intell. Transp. Syst., 2021
UAV-Assisted Wireless Energy and Data Transfer With Deep Reinforcement Learning.
IEEE Trans. Cogn. Commun. Netw., 2021
Securing Data Sharing from the Sky: Integrating Blockchains into Drones in 5G and Beyond.
IEEE Netw., 2021
A Blockchain-Based Approach for Saving and Tracking Differential-Privacy Cost.
IEEE Internet Things J., 2021
Deep Anomaly Detection for Time-Series Data in Industrial IoT: A Communication-Efficient On-Device Federated Learning Approach.
IEEE Internet Things J., 2021
NOMA-Enabled Cooperative Computation Offloading for Blockchain-Empowered Internet of Things: A Learning Approach.
IEEE Internet Things J., 2021
Reliable Coded Distributed Computing for Metaverse Services: Coalition Formation and Incentive Mechanism Design.
CoRR, 2021
Joint optimization of service chain caching and task offloading in mobile edge computing.
Appl. Soft Comput., 2021
Intelligent Data-Driven Vessel Trajectory Prediction in Marine Transportation Cyber-Physical System.
Proceedings of the 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2021
Communication-efficient and Scalable Decentralized Federated Edge Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Fast and Secure Consortium Blockchains with Lightweight Block Verifiers.
Proceedings of the Third International Conference on Blockchain Computing and Applications, 2021
2020
A Secure Federated Learning Framework for 5G Networks.
IEEE Wirel. Commun., 2020
Reliable Federated Learning for Mobile Networks.
IEEE Wirel. Commun., 2020
A Multi-Dimensional Contract Approach for Data Rewarding in Mobile Networks.
IEEE Trans. Wirel. Commun., 2020
Cloud/Edge Computing Service Management in Blockchain Networks: Multi-Leader Multi-Follower Game-Based ADMM for Pricing.
IEEE Trans. Serv. Comput., 2020
Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach.
IEEE Internet Things J., 2020
Federated Learning for 6G Communications: Challenges, Methods, and Future Directions.
CoRR, 2020
A Blockchain-Based Approach for Saving and Tracking Differential-Privacy Cost.
CoRR, 2020
Incentive Mechanism Design for Mobile Data Rewards using Multi-Dimensional Contract.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020
An incentive scheme for federated learning in the sky.
Proceedings of the DroneCom '20: Proceedings of the 2nd ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond, 2020
Communication-Efficient Federated Learning for Anomaly Detection in Industrial Internet of Things.
Proceedings of the IEEE Global Communications Conference, 2020
Multi-Dimensional Contract-Matching for Federated Learning in UAV-Enabled Internet of Vehicles.
Proceedings of the IEEE Global Communications Conference, 2020
Training Task Allocation in Federated Edge Learning: A Matching-Theoretic Approach.
Proceedings of the IEEE 17th Annual Consumer Communications & Networking Conference, 2020
Scalable and Communication-Efficient Decentralized Federated Edge Learning with Multi-blockchain Framework.
Proceedings of the Blockchain and Trustworthy Systems - Second International Conference, 2020
Towards the Future Data Market: Reward Optimization in Mobile Data Subsidization.
Proceedings of the 6GN for Future Wireless Networks - Third EAI International Conference, 2020
2019
Incentivizing Consensus Propagation in Proof-of-Stake Based Consortium Blockchain Networks.
IEEE Wirel. Commun. Lett., 2019
Toward Secure Blockchain-Enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory.
IEEE Trans. Veh. Technol., 2019
Blockchain for Secure and Efficient Data Sharing in Vehicular Edge Computing and Networks.
IEEE Internet Things J., 2019
Incentive Mechanism for Reliable Federated Learning: A Joint Optimization Approach to Combining Reputation and Contract Theory.
IEEE Internet Things J., 2019
Development of Reliable Wireless Communication System for Secure Blockchain-based Energy Trading.
Proceedings of the 16th International Joint Conference on Computer Science and Software Engineering, 2019
Incentivizing Secure Block Verification by Contract Theory in Blockchain-Enabled Vehicular Networks.
Proceedings of the 2019 IEEE International Conference on Communications, 2019
Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach.
Proceedings of the IEEE VTS Asia Pacific Wireless Communications Symposium, 2019
2018
Privacy-Preserved Pseudonym Scheme for Fog Computing Supported Internet of Vehicles.
IEEE Trans. Intell. Transp. Syst., 2018
Consortium Blockchain for Secure Energy Trading in Industrial Internet of Things.
IEEE Trans. Ind. Informatics, 2018
Software Defined Networking for Energy Harvesting Internet of Things.
IEEE Internet Things J., 2018
Towards Secure Blockchain-enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory.
CoRR, 2018
A Contract-Based Mobile Charging Scheme for Wireless-Powered Sensors in Industrial Internet of Things Networks.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2018
2017
Exploring Mobile Edge Computing for 5G-Enabled Software Defined Vehicular Networks.
IEEE Wirel. Commun., 2017
Software Defined Energy Harvesting Networking for 5G Green Communications.
IEEE Wirel. Commun., 2017
Enabling Localized Peer-to-Peer Electricity Trading Among Plug-in Hybrid Electric Vehicles Using Consortium Blockchains.
IEEE Trans. Ind. Informatics, 2017
Distributed Reputation Management for Secure and Efficient Vehicular Edge Computing and Networks.
IEEE Access, 2017
Collaborative data collection with hybrid vehicular crowd sensing in smart cities.
Proceedings of the 9th International Conference on Wireless Communications and Signal Processing, 2017
Optimized Workload Allocation in Vehicular Edge Computing: A Sequential Game Approach.
Proceedings of the Communications and Networking, 2017
2016
Location privacy attacks and defenses in cloud-enabled internet of vehicles.
IEEE Wirel. Commun., 2016
MixGroup: Accumulative Pseudonym Exchanging for Location Privacy Enhancement in Vehicular Social Networks.
IEEE Trans. Dependable Secur. Comput., 2016
Software Defined Networking With Pseudonym Systems for Secure Vehicular Clouds.
IEEE Access, 2016
Optimal and Cooperative Energy Replenishment in Mobile Rechargeable Networks.
Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016
A Hierarchical Pseudonyms Management Approach for Software-Defined Vehicular Networks.
Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016
On-demand Pseudonym Systems in Geo-Distributed Mobile Cloud Computing.
Proceedings of the 3rd IEEE International Conference on Cyber Security and Cloud Computing, 2016
2015
Cooperative Resource Management in Cloud-Enabled Vehicular Networks.
IEEE Trans. Ind. Electron., 2015
Toward secure energy harvesting cooperative networks.
IEEE Commun. Mag., 2015
Dynamic Resource Pricing and Scalable Cooperation for Mobile Cloud Computing.
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015
An optimal replenishment strategy in energy harvesting wireless networks with a mobile charger.
Proceedings of the 11th International Conference on Heterogeneous Networking for Quality, 2015
Dynamic demand balance in vehicle-to-grid mobile energy networks.
Proceedings of the 2015 IEEE International Conference on Communications, 2015
Hierarchical mobile cloud with social grouping for secure pervasive healthcare.
Proceedings of the 17th International Conference on E-health Networking, 2015
2013
Efficient and Secure Resource Management in Home M2M Networks.
Int. J. Distributed Sens. Networks, 2013