Deploying Foundation Model Powered Agent Services: A Survey

ERA: a QoE-Aware Collaborative Inference Algorithm for NOMA-based Edge Intelligence

FedCHG: Graph autoencoder enhanced federated learning for cross-Domain heterogeneous graph

FedEGL: edge-assisted federated graph learning

FedGSE: Gradient-Based Submodel Extraction for Resource-Constrained Federated Learning

Spatial-Temporal Attention Model for Traffic State Estimation with Sparse Internet of Vehicles Data

Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey

Backdooring Rationalization

Black-Box RF Fingerprint Spoofing via Surrogate-Guided Generative Perturbations

Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs

Distilling Cross-Modal Knowledge via Feature Disentanglement

HALO: Semantic-Aware Distributed LLM Inference in Lossy Edge Network

OmniVGGT: Omni-Modality Driven Visual Geometry Grounded Transformer

pFedDKS: Detached Knowledge Sharing for Personalized Federated Learning

Self-Speculative Decoding for On-device MoE Acceleration

A Hybrid Method for Source Direction Finding With Radio Frequency Interference and Gaussian White Noise

A Lightweight Multi-BS Cooperation AKA Mechanism for Fully Decoupled RAN

A Tensor-Based Data-Driven Approach for Multidimensional Harmonic Retrieval and Its Application for MIMO Channel Sounding

Concealing Radio Frequency Fingerprints via Active Adversarial Perturbation

DECC: Delay-Aware Edge-Cloud Collaboration for Accelerating DNN Inference

Enhanced Multidimensional Harmonic Retrieval in MIMO Wireless Channel Sounding

FeCoGraph: Label-Aware Federated Graph Contrastive Learning for Few-Shot Network Intrusion Detection

Graph Neural Network-Based Multicast Routing for On-Demand Streaming Services in 6 G Networks

Harmonizing Global and Local Class Imbalance for Federated Learning

Identity-preserving covert communication with generative perturbation

Knowledge-Aware Parameter Coaching for Communication-Efficient Personalized Federated Learning in Mobile Edge Computing

Mobility and Cost Aware Inference Accelerating Algorithm for Edge Intelligence

Model Decomposition and Reassembly for Purified Knowledge Transfer in Personalized Federated Learning

Multimodal dual-embedding networks for malware open-set recognition

Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning

BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach

ChatbotID: Identifying Chatbots with Granger Causality Test

Generative Forgery Attack for Radio Frequency Fingerprints Spoofing

On-Demand Multimedia Delivery in 6G: An Optimal-Cost Steiner Tree Approach

ONE-FOR-ALL FEW-SHOT ANOMALY DETECTION VIA INSTANCE-INDUCED PROMPT LEARNING

Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection

Personalized Federated Domain-Incremental Learning Based on Adaptive Knowledge Matching

Poster: Coda: Context-aware Acceleration for Distributed LLM Decoding in Edge

Privacy-Friendly Cross-Domain Recommendation via Distilling User-irrelevant Information

Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models

A General 3-D Geometry-Based Stochastic Channel Model for B5G mmWave IIoT

AI-Generated Content-Based Edge Learning for Fast and Efficient Few-Shot Defect Detection in IIoT

AirCon: Over-the-Air Consensus for Wireless Blockchain Networks

Caching User-Generated Content in Distributed Autonomous Networks via Contextual Bandit

Coupling-Informed Data-Driven Scheme for Joint Angle and Frequency Estimation in Uniform Linear Array With Mutual Coupling Present

Distributed and latency-aware beaconing for asynchronous duty-cycled IoT networks

Fast Packet Loss Inferring via Personalized Simulation-Reality Distillation

GNN-Empowered Effective Partial Observation MARL Method for AoI Management in Multi-UAV Network

Long-Term Adaptive VCG Auction Mechanism for Sustainable Federated Learning With Periodical Client Shifting

Mobile Collaborative Learning Over Opportunistic Internet of Vehicles

Mobility-Aware Utility Maximization in Digital Twin-Enabled Serverless Edge Computing

Optimal Power Control and CSI Acquisition for Over-the-Air Computation in OFDM System

Optimization-Driven DRL-Based Joint Beamformer Design for IRS-Aided ITSN Against Smart Jamming Attacks

Peak AoI Minimization with Directional Charging for Data Collection at Wireless-Powered Network Edge

PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models - Federated Learning in Age of Foundation Model

Rethinking Personalized Client Collaboration in Federated Learning

RingSFL: An Adaptive Split Federated Learning Towards Taming Client Heterogeneity

SR-FDIL: Synergistic Replay for Federated Domain-Incremental Learning

Toward Multi-User Access Fairness in Reconfigurable Intelligent Surface Assisted Wireless Networks

Towards Real-Time Inference Offloading With Distributed Edge Computing: The Framework and Algorithms

Tree Learning: Towards Promoting Coordination in Scalable Multi-Client Training Acceleration

UTDNet: A unified triplet decoder network for multimodal salient object detection

ALWNN: Automatic Modulation Classification via Adaptive Lightweight Wavelet Neural Network

Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models

AWSSS: Adaptive Weighted Statistical Space Smoothing for Regression with Imbalance Data

C²KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation

Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data

Cross-modal Representation Flattening for Multi-modal Domain Generalization

Detached and Interactive Multimodal Learning

Disentangle Estimation of Causal Effects from Cross-Silo Data

FedBAT: Communication-Efficient Federated Learning via Learnable Binarization

FedNLR: Federated Learning with Neuron-wise Learning Rates

Knowledge-Aware Parameter Coaching for Personalized Federated Learning

Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement

OTAS: An Elastic Transformer Serving System via Token Adaptation

Physical Layer Overshadowing Attack on Semantic Communication System

ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning

ST-Mamba: Spatial-Temporal Mamba for Traffic Flow Estimation Recovery using Limited Data

Intelligent Reflecting Surface-Aided Integrated Terrestrial-Satellite Networks

Joint Beamformer Design and User Scheduling for Integrated Terrestrial-Satellite Networks

A Practical Fast Model Inference System over Tiny Wireless Device

AOCC-FL: Federated Learning with Aligned Overlapping via Calibrated Compensation

DaFKD: Domain-aware Federated Knowledge Distillation

Decompose, Then Reconstruct: A Framework of Network Structures for Click-Through Rate Prediction

Non-Inducible RF Fingerprint Hiding via Feature Perturbation

Optimizing Average AoI with Directional Charging for Wireless-Powered Network Edge

PMR: Prototypical Modal Rebalance for Multimodal Learning

RingSFL: An Adaptive Federated Learning System for Heterogeneous Clients

Service-Oriented Resource Allocation in SDN Enabled LEO Satellite Networks

SigT: An Efficient End-to-End MIMO-OFDM Receiver Framework Based on Transformer

SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models

Towards Unbiased Training in Federated Open-world Semi-supervised Learning

A Comprehensive Survey on Training Acceleration for Large Machine Learning Models in IoT

Gradient Scheduling With Global Momentum for Asynchronous Federated Learning in Edge Environment

Leveraging Blockchain for Multi-Operator Access Sharing Management in Internet of Vehicles

Liquid Software-Based Edge Intelligence for Future 6G Networks

PS+: A Simple yet Effective Framework for Fast Training on Parameter Server

AoI Minimization Charging at Wireless-Powered Network Edge

Design of Low-latency Overlay Protocol for Blockchain Delivery Networks

Fusing Onboard Modalities with V2V Information for Autonomous Driving

Layer-wised Model Aggregation for Personalized Federated Learning

Sustainable Federated Learning with Long-term Online VCG Auction Mechanism

Delay Optimal Concurrent Transmissions with Raptor Codes in Dual Connectivity Networks

Service-Oriented Energy-Latency Tradeoff for IoT Task Partial Offloading in MEC-Enhanced Multi-RAT Networks

Space-air-ground integrated networks for future IoT: Architecture, management, service and performance

Towards Rear-End Collision Avoidance: Adaptive Beaconing for Connected Vehicles

Internet Access in Vehicular Networks

Autonomous Rate Control for Mobile Internet of Things: A Deep Reinforcement Learning Approach

Joint Resource Allocation and User Scheduling Scheme for Federated Learning

Parameterized Knowledge Transfer for Personalized Federated Learning

Towards Integrated Terrestrial-Satellite Network via Intelligent Reflecting Surface

User clustering and proactive group handover scheduling in LEO satellite networks

Weighted Sum-Rate Maximization for Multi-IRS Aided Integrated Terrestrial-Satellite Networks

An Improved SC Flip Decoding Algorithm of Polar Codes Based on Genetic Algorithm

Augmenting Drive-Thru Internet via Reinforcement Learning-Based Rate Adaptation

Control channel anti-jamming in vehicular networks via cooperative relay beamforming

Delay-Minimized Edge Caching in Heterogeneous Vehicular Networks: A Matching-Based Approach

Enabling Security-Aware D2D Spectrum Resource Sharing for Connected Autonomous Vehicles

Evolutionary V2X Technologies Toward the Internet of Vehicles: Challenges and Opportunities

Optimal power allocation for non-orthogonal multiple access in wireless backhaul networks

Resource Management in Space-Air-Ground Integrated Vehicular Networks: SDN Control and AI Algorithm Design

Vehicular Networking-Enabled Vehicle State Prediction via Two-Level Quantized Adaptive Kalman Filtering

A Novel Learning Approach for Citywide Crowd Flow Prediction

Back Shape Measurement and Three-Dimensional Reconstruction of Spinal Shape Using One Kinect Sensor

Collaborative Anomaly Detection for Internet of Things based on Federated Learning

Joint Power Allocation for Non-orthogonal Multiple Access in Wireless Backhaul Networks

Proactive Link Adaptation for Marine Internet of Things in TV White Space

Characterizing Urban Vehicle-to-Vehicle Communications for Reliable Safety Applications

Intelligent Link Adaptation in 802.11 Vehicular Networks: Challenges and Solutions

Throughput Analysis of Vehicular Internet Access via Roadside WiFi Hotspot

A queueing analysis of the opportunistic vehicle-to-vehicle communication

Design of Active Learning Framework for Collaborative Anomaly Detection

Efficient rate adaptation for 802.11af TVWS vehicular access via deep learning

Air-ground integrated mobile edge networks: Architecture, challenges, and opportunities

Big Data Driven Vehicular Networks

DBCC: Leveraging Link Perception for Distributed Beacon Congestion Control in VANETs

Drone Assisted Vehicular Networks: Architecture, Challenges and Opportunities

Exploiting Hotspot-2.0 for Traffic Offloading in Mobile Networks

Intelligent Context-Aware Communication Paradigm Design for IoVs Based on Data Analytics

Internet of vehicles in big data era

MoMAC: Mobility-aware and collision-avoidance MAC for safety applications in VANETs

Multiple drone-cell deployment analyses and optimization in drone assisted radio access networks

SS-MAC: A Novel Time Slot-Sharing MAC for Safety Messages Broadcasting in VANETs

3D Drone-cell deployment optimization for drone assisted radio access networks

ABC: Adaptive beacon control for rear-end collision avoidance in VANETs

Matching-Based Content Caching in Heterogeneous Vehicular Networks

Reinforcement Learning Policy for Adaptive Edge Caching in Heterogeneous Vehicular Network

Throughput Analysis of In-Vehicle Internet Access via On-Road WiFi Access Points

ViFi: Vehicle-to-Vehicle Assisted Traffic Offloading via Roadside WiFi Networks

Delay analysis of in-vehicle internet access Via On-Road WiFi access points

Service-Oriented Dynamic Connection Management for Software-Defined Internet of Vehicles

Toward 5G Spectrum Sharing for Immersive-Experience-Driven Vehicular Communications

An Efficient PMIPv6-Based Handoff Scheme for Urban Vehicular Networks

Ti-Fi: Terminal-to-terminal communication incorporated Wi-Fi offloading

A Game Theoretical Approach for Load Balancing User Association in 802.11 Wireless Networks

Channel Assignment and User Association Game in Dense 802.11 Wireless Networks

A measurement study of channel dynamics in wireless mesh networks

An Improved SC Flip Decoding Algorithm of Polar Codes Based on Genetic Algorithm

Article

Augmenting Drive-Thru Internet via Reinforcement Learning-Based Rate Adaptation

Article

Control channel anti-jamming in vehicular networks via cooperative relay beamforming

Article

Delay-Minimized Edge Caching in Heterogeneous Vehicular Networks: A Matching-Based Approach

Article

Enabling Security-Aware D2D Spectrum Resource Sharing for Connected Autonomous Vehicles

Article

Evolutionary V2X Technologies Toward the Internet of Vehicles: Challenges and Opportunities

Article

Optimal power allocation for non-orthogonal multiple access in wireless backhaul networks

Article

Resource Management in Space-Air-Ground Integrated Vehicular Networks: SDN Control and AI Algorithm Design

Article

Vehicular Networking-Enabled Vehicle State Prediction via Two-Level Quantized Adaptive Kalman Filtering

Article

A Novel Learning Approach for Citywide Crowd Flow Prediction

Conference paper

Back Shape Measurement and Three-Dimensional Reconstruction of Spinal Shape Using One Kinect Sensor

Conference paper

Collaborative Anomaly Detection for Internet of Things based on Federated Learning

Conference paper

Joint Power Allocation for Non-orthogonal Multiple Access in Wireless Backhaul Networks

Conference paper

Proactive Link Adaptation for Marine Internet of Things in TV White Space

Conference paper

Characterizing Urban Vehicle-to-Vehicle Communications for Reliable Safety Applications

Article

Intelligent Link Adaptation in 802.11 Vehicular Networks: Challenges and Solutions

Article

Throughput Analysis of Vehicular Internet Access via Roadside WiFi Hotspot

Article

A queueing analysis of the opportunistic vehicle-to-vehicle communication

Conference paper

Design of Active Learning Framework for Collaborative Anomaly Detection

Conference paper

Efficient rate adaptation for 802.11af TVWS vehicular access via deep learning

Conference paper

Air-ground integrated mobile edge networks: Architecture, challenges, and opportunities

Article

Big Data Driven Vehicular Networks

Article

DBCC: Leveraging Link Perception for Distributed Beacon Congestion Control in VANETs

Article

Drone Assisted Vehicular Networks: Architecture, Challenges and Opportunities

Article

Exploiting Hotspot-2.0 for Traffic Offloading in Mobile Networks

Article

Intelligent Context-Aware Communication Paradigm Design for IoVs Based on Data Analytics

Article

Internet of vehicles in big data era

Article

MoMAC: Mobility-aware and collision-avoidance MAC for safety applications in VANETs

Article

Multiple drone-cell deployment analyses and optimization in drone assisted radio access networks

Article

SS-MAC: A Novel Time Slot-Sharing MAC for Safety Messages Broadcasting in VANETs

Article

3D Drone-cell deployment optimization for drone assisted radio access networks

Conference paper

ABC: Adaptive beacon control for rear-end collision avoidance in VANETs

Conference paper

Matching-Based Content Caching in Heterogeneous Vehicular Networks

Conference paper

Reinforcement Learning Policy for Adaptive Edge Caching in Heterogeneous Vehicular Network

Conference paper

Throughput Analysis of In-Vehicle Internet Access via On-Road WiFi Access Points

Conference paper

ViFi: Vehicle-to-Vehicle Assisted Traffic Offloading via Roadside WiFi Networks

Conference paper

Delay analysis of in-vehicle internet access Via On-Road WiFi access points

Article

Service-Oriented Dynamic Connection Management for Software-Defined Internet of Vehicles

Article

Toward 5G Spectrum Sharing for Immersive-Experience-Driven Vehicular Communications

Article

An Efficient PMIPv6-Based Handoff Scheme for Urban Vehicular Networks

Article

Ti-Fi: Terminal-to-terminal communication incorporated Wi-Fi offloading

Conference paper

A Game Theoretical Approach for Load Balancing User Association in 802.11 Wireless Networks

Conference paper

Channel Assignment and User Association Game in Dense 802.11 Wireless Networks

Conference paper

A measurement study of channel dynamics in wireless mesh networks

Conference paper