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08/26/2023
MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning Tree
Binary neural networks (BNNs) have been widely adopted to reduce the com...
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08/16/2023
Deep Reinforcement Learning based Joint Spectrum Allocation and Configuration Design for STAR-RIS-Assisted V2X Communications
Vehicle-to-Everything (V2X) communications play a crucial role in ensuri...
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07/28/2023
SpaceRIS: LEO Satellite Coverage Maximization in 6G Sub-THz Networks by MAPPO DRL and Whale Optimization
Satellite systems face a significant challenge in effectively utilizing ...
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07/25/2023
FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning
Federated learning (FL) enables a decentralized machine learning paradig...
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07/20/2023
Boosting Federated Learning Convergence with Prototype Regularization
As a distributed machine learning technique, federated learning (FL) req...
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07/07/2023
Swin Transformer-Based Dynamic Semantic Communication for Multi-User with Different Computing Capacity
Semantic communication has gained significant attention from researchers...
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07/05/2023
Convergence of Communications, Control, and Machine Learning for Secure and Autonomous Vehicle Navigation
Connected and autonomous vehicles (CAVs) can reduce human errors in traf...
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06/25/2023
Faster Segment Anything: Towards Lightweight SAM for Mobile Applications
Segment anything model (SAM) is a prompt-guided vision foundation model ...
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06/13/2023
Robustness of SAM: Segment Anything Under Corruptions and Beyond
Segment anything model (SAM), as the name suggests, is claimed to be cap...
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05/10/2023
Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era
Generative AI (AIGC, a.k.a. AI generated content) has made remarkable pr...
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04/29/2023
Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected
Meta AI Research has recently released SAM (Segment Anything Model) whic...
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04/04/2023
One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era
OpenAI has recently released GPT-4 (a.k.a. ChatGPT plus), which is demon...
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04/01/2023
MP-FedCL: Multi-Prototype Federated Contrastive Learning for Edge Intelligence
Federated learning-assisted edge intelligence enables privacy protection...
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03/22/2023
Prototype Helps Federated Learning: Towards Faster Convergence
Federated learning (FL) is a distributed machine learning technique in w...
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03/21/2023
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?
As ChatGPT goes viral, generative AI (AIGC, a.k.a AI-generated content) ...
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12/12/2022
Satellite-based ITS Data Offloading Computation in 6G Networks: A Cooperative Multi-Agent Proximal Policy Optimization DRL with Attention Approach
With the rapid growth of intelligent transportation systems (ITS), there...
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11/07/2022
Machine Learning for Metaverse-enabled Wireless Systems: Vision, Requirements, and Challenges
Today's wireless systems are posing key challenges in terms of quality o...
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10/28/2022
Federated Learning based Energy Demand Prediction with Clustered Aggregation
To reduce negative environmental impacts, power stations and energy grid...
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10/28/2022
Federated Learning with Intermediate Representation Regularization
In contrast to centralized model training that involves data collection,...
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10/13/2022
Neuro-symbolic Explainable Artificial Intelligence Twin for Zero-touch IoE in Wireless Network
Explainable artificial intelligence (XAI) twin systems will be a fundame...
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09/15/2022
Joint Trajectory and Resource Optimization of MEC-Assisted UAVs in Sub-THz Networks: A Resources-based Multi-Agent Proximal Policy Optimization DRL with Attention Mechanism
THz band communication technology will be used in the 6G networks to ena...
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08/16/2022
Dependency Tasks Offloading and Communication Resource Allocation in Collaborative UAVs Networks: A Meta-Heuristic Approach
In recent years, unmanned aerial vehicles (UAVs) assisted mobile edge co...
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08/10/2022
Federated Learning for Digital Twin-Based Vehicular Networks: Architecture and Challenges
Emerging intelligent transportation applications, such as accident repor...
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07/07/2022
Energy-Efficient Communication Networks via Multiple Aerial Reconfigurable Intelligent Surfaces: DRL and Optimization Approach
In the realm of wireless communications in 5G, 6G and beyond, deploying ...
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06/20/2022
Metaverse for Wireless Systems: Vision, Enablers, Architecture, and Future Directions
Recently, significant research efforts have been initiated to enable the...
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02/07/2022
3TO: THz-Enabled Throughput and Trajectory Optimization of UAVs in 6G Networks by Proximal Policy Optimization Deep Reinforcement Learning
Next-generation networks need to meet ubiquitous and high data-rate dema...
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02/05/2022
Digital Twin of Wireless Systems: Overview, Taxonomy, Challenges, and Opportunities
Future wireless services must be focused on improving the quality of lif...
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02/05/2022
Blue Data Computation Maximization in 6G Space-Air-Sea Non-Terrestrial Networks
Non-terrestrial networks (NTN), encompassing space and air platforms, ar...
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01/26/2022
An Explainable Artificial Intelligence Framework for Quality-Aware IoE Service Delivery
One of the core envisions of the sixth-generation (6G) wireless networks...
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01/21/2022
Seamless and Energy Efficient Maritime Coverage in Coordinated 6G Space-Air-Sea Non-Terrestrial Networks
Non-terrestrial networks (NTNs), which integrate space and aerial networ...
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08/02/2021
Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging
In this paper, the design of a rational decision support system (RDSS) f...
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07/30/2021
Collaboration in the Sky: A Distributed Framework for Task Offloading and Resource Allocation in Multi-Access Edge Computing
Recently, unmanned aerial vehicles (UAVs) assisted multi-access edge com...
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07/02/2021
Ruin Theory for User Association and Energy Optimization in Multi-access Edge Computing
In this letter, a novel framework is proposed for analyzing data offload...
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07/02/2021
Trajectory Optimization and Phase-Shift Design in IRS Assisted UAV Network for High Speed Trains
The recent trend towards the high-speed transportation system has spurre...
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07/02/2021
A Business Model for Resource Sharing in Cell-Free UAVs-Assisted Wireless Networks
Unmanned aerial vehicles (UAVs) are widely deployed to enhance the wirel...
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05/20/2021
A Dispersed Federated Learning Framework for 6G-Enabled Autonomous Driving Cars
Sixth-Generation (6G)-based Internet of Everything applications (e.g. au...
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05/19/2021
Securing Cyber-Physical Systems Through Blockchain-Based Digital Twins and Threat Intelligence
The proliferation of digitization and complexity of connectivity in Cybe...
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03/31/2021
Ultra-Reliable Indoor Millimeter Wave Communications using Multiple Artificial Intelligence-Powered Intelligent Surfaces
In this paper, a novel framework for guaranteeing ultra-reliable millime...
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03/22/2021
Blockchain-based Digital Twins: Research Trends, Issues, and Future Challenges
Industrial processes rely on sensory data for decision-making processes,...
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02/24/2021
Digital-Twin-Enabled 6G: Vision, Architectural Trends, and Future Directions
Internet of Everything (IoE) applications such as haptics, human-compute...
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11/25/2020
Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks
Federated Learning is a new learning scheme for collaborative training a...
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11/24/2020
Energy-Efficient Resource Allocation in Multi-UAV-Assisted Two-Stage Edge Computing for Beyond 5G Networks
Unmanned aerial vehicle (UAV)-assisted multi-access edge computing (MEC)...
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11/02/2020
Joint Location and Power Optimization for THz-enabled UAV Communications
In this paper, the problem of unmanned aerial vehicle (UAV) deployment a...
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10/23/2020
Trustworthy Digital Twins in the Industrial Internet of Things with Blockchain
Industrial processes rely on sensory data for critical decision-making p...
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09/28/2020
Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges
The Internet of Things (IoT) will be ripe for the deployment of novel ma...
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08/26/2020
SmartSON:A Smart contract driven incentive management framework for Self-Organizing Networks
This article proposes a self-organizing collaborative computing network ...
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08/24/2020
Drive Safe: Cognitive-Behavioral Mining for Intelligent Transportation Cyber-Physical System
This paper presents a cognitive behavioral-based driver mood repairment ...
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08/12/2020
Dispersed Federated Learning: Vision, Taxonomy, and Future Directions
The ongoing deployment of the Internet of Things (IoT)-based smart appli...
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07/27/2020
Controlling the Outbreak of COVID-19: A Noncooperative Game Perspective
COVID-19 is a global epidemic. Till now, there is no remedy for this epi...
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07/05/2020
