Zehui Xiong
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Zehui Xiongcomputer-science Degrees
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Computer Science
Zehui Xiong's Degrees
- PhD Computer Science University of California, Berkeley
- Masters Computer Science University of California, Berkeley
- Bachelors Computer Science Peking University
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(Suggest an Edit or Addition)Zehui Xiong's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks (2018) (512)
- Incentive Mechanism for Reliable Federated Learning: A Joint Optimization Approach to Combining Reputation and Contract Theory (2019) (358)
- When Mobile Blockchain Meets Edge Computing (2017) (342)
- Toward Secure Blockchain-Enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory (2018) (308)
- Reliable Federated Learning for Mobile Networks (2019) (223)
- Cloud/Fog Computing Resource Management and Pricing for Blockchain Networks (2017) (199)
- Deep Reinforcement Learning-Based Intelligent Reflecting Surface for Secure Wireless Communications (2020) (181)
- Artificial-Intelligence-Enabled Intelligent 6G Networks (2019) (178)
- Federated learning for 6G communications: Challenges, methods, and future directions (2020) (168)
- Optimal Auction for Edge Computing Resource Management in Mobile Blockchain Networks: A Deep Learning Approach (2017) (157)
- Deep Anomaly Detection for Time-Series Data in Industrial IoT: A Communication-Efficient On-Device Federated Learning Approach (2020) (146)
- Deep Reinforcement Learning for Mobile 5G and Beyond: Fundamentals, Applications, and Challenges (2019) (145)
- Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach (2019) (143)
- Social Welfare Maximization Auction in Edge Computing Resource Allocation for Mobile Blockchain (2017) (134)
- A Survey on Consensus Mechanisms and Mining Management in Blockchain Networks (2018) (117)
- Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach (2020) (113)
- Optimal Pricing-Based Edge Computing Resource Management in Mobile Blockchain (2017) (104)
- A Stackelberg Game Approach Toward Socially-Aware Incentive Mechanisms for Mobile Crowdsensing (2018) (90)
- Data-Driven Trajectory Quality Improvement for Promoting Intelligent Vessel Traffic Services in 6G-Enabled Maritime IoT Systems (2021) (83)
- Fusing Blockchain and AI With Metaverse: A Survey (2022) (80)
- Cloud/Edge Computing Service Management in Blockchain Networks: Multi-Leader Multi-Follower Game-Based ADMM for Pricing (2020) (78)
- Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile Networks (2020) (73)
- A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges (2022) (71)
- Intelligent Reflecting Surface Assisted Anti-Jamming Communications: A Fast Reinforcement Learning Approach (2020) (70)
- Incentivizing Consensus Propagation in Proof-of-Stake Based Consortium Blockchain Networks (2019) (68)
- EDL-COVID: Ensemble Deep Learning for COVID-19 Case Detection From Chest X-Ray Images (2021) (66)
- Decentralized Edge Intelligence: A Dynamic Resource Allocation Framework for Hierarchical Federated Learning (2022) (62)
- Realizing the Metaverse with Edge Intelligence: A Match Made in Heaven (2022) (55)
- The Best of Both Worlds: A General Architecture for Data Management in Blockchain-enabled Internet-of-Things (2020) (54)
- Joint Auction-Coalition Formation Framework for Communication-Efficient Federated Learning in UAV-Enabled Internet of Vehicles (2020) (49)
- Edge Computing Resource Management and Pricing for Mobile Blockchain (2017) (47)
- UAV-Assisted Wireless Energy and Data Transfer With Deep Reinforcement Learning (2021) (42)
- Economic Analysis of Network Effects on Sponsored Content: A Hierarchical Game Theoretic Approach (2017) (40)
- Dynamic Edge Association and Resource Allocation in Self-Organizing Hierarchical Federated Learning Networks (2021) (39)
- Joint Sponsored and Edge Caching Content Service Market: A Game-Theoretic Approach (2019) (39)
- Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management (2020) (38)
- Wireless Edge-Empowered Metaverse: A Learning-Based Incentive Mechanism for Virtual Reality (2021) (38)
- Optimizing Task Assignment for Reliable Blockchain-Empowered Federated Edge Learning (2021) (33)
- Unified Resource Allocation Framework for the Edge Intelligence-Enabled Metaverse (2021) (31)
- Blockchain and Artificial Intelligence for Dynamic Resource Sharing in 6G and Beyond (2021) (29)
- Dynamic Contract Design for Federated Learning in Smart Healthcare Applications (2021) (29)
- STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multigraph Convolutional Network (2022) (28)
- Joint Active and Passive Beamforming Design for the IRS-Assisted MIMOME-OFDM Secure Communications (2021) (28)
- Information Trading in Internet of Things for Smart Cities: A Market-Oriented Analysis (2020) (27)
- A Comprehensive Survey on Coded Distributed Computing: Fundamentals, Challenges, and Networking Applications (2021) (27)
- A Socially-Aware Incentive Mechanism for Mobile Crowdsensing Service Market (2017) (27)
- Deep Reinforcement Learning Based Massive Access Management for Ultra-Reliable Low-Latency Communications (2020) (24)
- 6G-enabled Edge AI for Metaverse: Challenges, Methods, and Future Research Directions (2022) (24)
- Joint optimization of service chain caching and task offloading in mobile edge computing (2021) (23)
- Intelligent Reflecting Surface Meets Mobile Edge Computing: Enhancing Wireless Communications for Computation Offloading (2020) (23)
- When Mobile Blockchain Meets Edge Computing: Challenges and Applications (2017) (23)
- Communication-Efficient Federated Learning for Anomaly Detection in Industrial Internet of Things (2020) (22)
- An Incentive Mechanism Design for Socially Aware Crowdsensing Services with Incomplete Information (2019) (22)
- When Information Freshness Meets Service Latency in Federated Learning: A Task-Aware Incentive Scheme for Smart Industries (2020) (22)
- Blockchain-based Federated Learning for Industrial Metaverses: Incentive Scheme with Optimal AoI (2022) (21)
- Dynamic Resource Management to Defend Against Advanced Persistent Threats in Fog Computing: A Game Theoretic Approach (2019) (21)
- Competition and cooperation analysis for data sponsored market: A network effects model (2017) (21)
- On Cyber Risk Management of Blockchain Networks: A Game Theoretic Approach (2018) (21)
- Scalable and Communication-efficient Decentralized Federated Edge Learning with Multi-blockchain Framework (2020) (21)
- Reconfigurable Intelligent Surface for MISO Systems with Proportional Rate Constraints (2020) (19)
- Dynamic Pricing for Revenue Maximization in Mobile Social Data Market With Network Effects (2018) (19)
- A Survey of Intelligent Network Slicing Management for Industrial IoT: Integrated Approaches for Smart Transportation, Smart Energy, and Smart Factory (2022) (18)
- Reflection Resource Management for Intelligent Reflecting Surface Aided Wireless Networks (2020) (18)
- Incentive Mechanism Design for Resource Sharing in Collaborative Edge Learning (2020) (17)
- Reliable Coded Distributed Computing for Metaverse Services: Coalition Formation and Incentive Mechanism Design (2021) (17)
- Semantic Communications for 6G Future Internet: Fundamentals, Applications, and Challenges (2022) (17)
- Semantic Communication Meets Edge Intelligence (2022) (17)
- Intelligent Edge-Enabled Efficient Multi-Source Data Fusion for Autonomous Surface Vehicles in Maritime Internet of Things (2022) (16)
- UAV-Assisted Communication Efficient Federated Learning in the Era of the Artificial Intelligence of Things (2021) (16)
- A Survey of Coded Distributed Computing (2020) (16)
- A Multi-Leader Multi-Follower Game-Based Analysis for Incentive Mechanisms in Socially-Aware Mobile Crowdsensing (2020) (15)
- Joint Transmit Precoding and Reflect Beamforming Design for IRS-Assisted MIMO Cognitive Radio Systems (2021) (15)
- A Hierarchical Game with Strategy Evolution for Mobile Sponsored Content/Service Markets (2017) (14)
- Attention-aware Resource Allocation and QoE Analysis for Metaverse xURLLC Services (2022) (14)
- Communication-Efficient and Cross-Chain Empowered Federated Learning for Artificial Intelligence of Things (2022) (13)
- Securing Data Sharing from the Sky: Integrating Blockchains into Drones in 5G and Beyond (2021) (13)
- Reliable Distributed Computing for Metaverse: A Hierarchical Game-Theoretic Approach (2021) (13)
- A Multi-Dimensional Contract Approach for Data Rewarding in Mobile Networks (2020) (13)
- A Hierarchical Incentive Design Toward Motivating Participation in Coded Federated Learning (2022) (12)
- Contract Design in Hierarchical Game for Sponsored Content Service Market (2021) (12)
- A Hierarchical Game With Strategy Evolution for Mobile Sponsored Content and Service Markets (2018) (12)
- Network Effect-Based Sequential Dynamic Pricing for Mobile Social Data Market (2017) (11)
- Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges (2022) (11)
- Communication-efficient and Scalable Decentralized Federated Edge Learning (2021) (11)
- A Stackelberg Game Approach for Sponsored Content Management in Mobile Data Market With Network Effects (2020) (11)
- A novel coverage algorithm based on 3D-Voronoi cell for underwater wireless sensor networks (2015) (11)
- A Double Auction Mechanism for Resource Allocation in Coded Vehicular Edge Computing (2022) (11)
- Reconfigurable Intelligent Surface Aided Power Control for Physical-Layer Broadcasting (2019) (10)
- Healthcare in Metaverse: A Survey on Current Metaverse Applications in Healthcare (2022) (10)
- A Game-Theoretic Analysis for Complementary and Substitutable IoT Services Delivery With Externalities (2020) (10)
- Lead federated neuromorphic learning for wireless edge artificial intelligence (2022) (10)
- Game Theoretic Analysis for Joint Sponsored and Edge Caching Content Service Market (2018) (10)
- Exploring Attention-Aware Network Resource Allocation for Customized Metaverse Services (2022) (10)
- Joint optimization of information trading in Internet of Things (IoT) market with externalities (2018) (9)
- Priority-Based Greedy Scheduling for Confident Information Coverage in Energy Harvesting Wireless Sensor Networks (2015) (9)
- Toward a Perpetual IoT System: Wireless Power Management Policy With Threshold Structure (2018) (9)
- Enabling AI-Generated Content (AIGC) Services in Wireless Edge Networks (2023) (9)
- Reward Optimization for Content Providers With Mobile Data Subsidization: A Hierarchical Game Approach (2020) (9)
- Personalized Saliency in Task-Oriented Semantic Communications: Image Transmission and Performance Analysis (2022) (8)
- Bring Intelligence among Edges: A Blockchain-Assisted Edge Intelligence Approach (2020) (8)
- Evolving Risk Management Against Advanced Persistent Threats in Fog Computing (2018) (8)
- Training Task Allocation in Federated Edge Learning: A Matching-Theoretic Approach (2020) (8)
- Intelligent Reflecting Surface Assisted Anti-Jamming Communications Based on Reinforcement Learning (2020) (7)
- Aerial Refueling: Scheduling Wireless Energy Charging for UAV Enabled Data Collection (2022) (7)
- Cyber Risk Management with Risk Aware Cyber-Insurance in Blockchain Networks (2018) (7)
- Stochastic Resource Allocation for Semantic Communication-aided Virtual Transportation Networks in the Metaverse (2022) (7)
- Nothing Wasted: Full Contribution Enforcement in Federated Edge Learning (2021) (7)
- Quantum-Secured Space-Air-Ground Integrated Networks: Concept, Framework, and Case Study (2022) (7)
- Slicing-Based Reliable Resource Orchestration for Secure Software-Defined Edge-Cloud Computing Systems (2021) (7)
- Reputation-aware Hedonic Coalition Formation for Efficient Serverless Hierarchical Federated Learning (2021) (7)
- Slicing4Meta: An Intelligent Integration Framework with Multi-dimensional Network Resources for Metaverse-as-a-Service in Web 3.0 (2022) (6)
- GM(1,1) based improved seasonal index model for monthly electricity consumption forecasting (2022) (6)
- Multiagent Federated Reinforcement Learning for Secure Incentive Mechanism in Intelligent Cyber–Physical Systems (2021) (6)
- Multi-agent Actor-Critic Reinforcement Learning Based In-network Load Balance (2020) (6)
- Joint pricing and security investment for cloud-insurance: A security interdependency perspective (2018) (6)
- Auction-and-Learning Based Lagrange Coded Computing Model for Privacy-Preserving, Secure, and Resilient Mobile Edge Computing (2021) (6)
- A Stackelberg Game Approach to Resource Allocation for IRS-aided Communications (2020) (5)
- Robust Semisupervised Federated Learning for Images Automatic Recognition in Internet of Drones (2022) (5)
- AI-Generated Incentive Mechanism and Full-Duplex Semantic Communications for Information Sharing (2023) (5)
- Incentivizing Secure Block Verification by Contract Theory in Blockchain-Enabled Vehicular Networks (2019) (5)
- Semantic Communications for Wireless Sensing: RIS-aided Encoding and Self-supervised Decoding (2022) (5)
- Joint Pricing and Security Investment in Cloud Security Service Market With User Interdependency (2020) (5)
- A Game-theoretic Approach Towards Collaborative Coded Computation Offloading (2021) (5)
- Latency-Aware Task Scheduling in Software-Defined Edge and Cloud Computing with Erasure-Coded Storage Systems (2022) (5)
- A Game-Theoretic Analysis of Complementarity, Substitutability and Externalities in Cloud Services (2017) (5)
- A Contract Theory based Incentive Mechanism for Federated Learning (2021) (5)
- Incentive Mechanism Design for Joint Resource Allocation in Blockchain-Based Federated Learning (2022) (5)
- Covert Communication Assisted by UAV-IRS (2023) (4)
- Distributed Deep Reinforcement Learning Based Spectrum and Power Allocation for Heterogeneous Networks (2022) (4)
- EPViSA: Efficient Auction Design for Real-time Physical-Virtual Synchronization in the Metaverse (2022) (4)
- In-Network Intelligence Control: Toward a Self-Driving Networking Architecture (2021) (4)
- UAV-Assisted 5G/6G Networks: Joint Scheduling and Resource Allocation Based on Asynchronous Reinforcement Learning (2021) (4)
- Market-Oriented Information Trading in Internet of Things (IoT) for Smart Cities (2018) (4)
- Joint Transmit Precoding and Reflect Beamforming for IRS-Assisted MIMO-OFDM Secure Communications (2021) (4)
- Dynamic Resource Allocation for Hierarchical Federated Learning (2020) (4)
- Integrating Edge Intelligence and Blockchain: What, Why, and How (2022) (4)
- Communication-Efficient Federated Learning in UAV-enabled IoV: A Joint Auction-Coalition Approach (2020) (4)
- Resource Allocation for Intelligent Reflecting Surface Aided Cooperative Communications (2020) (4)
- Slicing-Based Software-Defined Mobile Edge Computing in the Air (2022) (4)
- Stochastic Coded Offloading Scheme for Unmanned-Aerial-Vehicle-Assisted Edge Computing (2022) (4)
- VRepChain: A Decentralized and Privacy-Preserving Reputation System for Social Internet of Vehicles Based on Blockchain (2022) (4)
- Joint Traffic Routing and Virtualized Security Function Activation in Wireless Multihop Networks (2019) (4)
- Collaborative Coded Computation Offloading: An All-pay Auction Approach (2020) (3)
- Incentive Mechanism Design for Federated Learning in the Internet of Vehicles (2020) (3)
- Smart City Enabled by 5G/6G Networks: An Intelligent Hybrid Random Access Scheme (2021) (3)
- An incentive scheme for federated learning in the sky (2020) (3)
- Joint User Association and Resource Pricing for Metaverse: Distributed and Centralized Approaches (2022) (3)
- Incentive Mechanism Design for Mobile Data Rewards using Multi-Dimensional Contract (2020) (3)
- QoE-Based MEC-Assisted Predictive Adaptive Video Streaming for On-Road Driving Scenarios (2021) (3)
- Deep Reinforcement Learning Based Resource Allocation for Heterogeneous Networks (2021) (3)
- Resource Allocation in Quantum Key Distribution (QKD) for Space-Air-Ground Integrated Networks (2022) (3)
- Joint Time Scheduling and Transaction Fee Selection in Blockchain-based RF-Powered Backscatter Cognitive Radio Network (2020) (3)
- Rethinking Wireless Communication Security in Semantic Internet of Things (2022) (3)
- A Stackelberg Game Approach to Resource Allocation for Intelligent Reflecting Surface Aided Communications (2020) (3)
- Intelligent Data-Driven Vessel Trajectory Prediction in Marine Transportation Cyber-Physical System (2021) (3)
- Synergy of Edge Intelligence and Blockchain: A Comprehensive Survey (2021) (3)
- Economics of Semantic Communication System: An Auction Approach (2022) (3)
- Intelligent Reconfigurable Surface Aided Power Control for Physical-Layer Broadcasting (2019) (3)
- Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services (2023) (2)
- When Quantum Information Technologies Meet Blockchain in Web 3.0 (2022) (2)
- Generative AI-empowered Effective Physical-Virtual Synchronization in the Vehicular Metaverse (2023) (2)
- A Trustless Architecture of Blockchain-enabled Metaverse (2022) (2)
- Generative AI-empowered Simulation for Autonomous Driving in Vehicular Mixed Reality Metaverses (2023) (2)
- Multi-Dimensional Contract-Matching for Federated Learning in UAV-Enabled Internet of Vehicles (2020) (2)
- Federated Learning Over Wireless Edge Networks (2022) (2)
- AI-Empowered Decision Support for COVID-19 Social Distancing (2021) (2)
- Towards Green Metaverse Networking Technologies, Advancements and Future Directions (2022) (2)
- Adaptive Resource Allocation in Quantum Key Distribution (QKD) for Federated Learning (2022) (2)
- Retrospective Interference Regeneration Schemes for Relay-Aided K-user MIMO Downlink Networks (2021) (2)
- Privacy is not Free: Energy-Aware Federated Learning for Mobile and Edge Intelligence (2020) (2)
- Privacy-Aware Double Auction With Time-Dependent Valuation for Blockchain-Based Dynamic Spectrum Sharing in IoT Systems (2023) (2)
- Design of Contract-Based Sponsorship Scheme in Stackelberg Game for Sponsored Content Market (2019) (2)
- Generative AI-aided Optimization for AI-Generated Content (AIGC) Services in Edge Networks (2023) (2)
- Blockchain-Empowered Lifecycle Management for AI-Generated Content (AIGC) Products in Edge Networks (2023) (2)
- Privacy-Preserving Intelligent Resource Allocation for Federated Edge Learning in Quantum Internet (2022) (2)
- A Stackelberg Game Approach Towards Socially-Aware Incentive Mechanisms for Mobile Crowdsensing (Online report) (2018) (2)
- Extraction of Hottest Shipping Routes: From Positioning Data to Intelligent Surveillance (2021) (1)
- Cost-Effective Task Offloading in NOMA-Enabled Vehicular Mobile Edge Computing (2023) (1)
- Economic Systems in Metaverse: Basics, State of the Art, and Challenges (2022) (1)
- Predictive Analytics for COVID-19 Social Distancing (2021) (1)
- Deep-learning Based Auction Resource Allocation in Coded Computation Offloading for Internet-of-Things (2021) (1)
- Outage Analysis of Rate Splitting Networks With an Untrusted User (2023) (1)
- Robust Design of IRS-Aided Multi-group Multicast System with Imperfect CSI (2023) (1)
- Covert Communications: A Comprehensive Survey (2023) (1)
- A Distributed Reinforcement Learning Approach to In-network Congestion Control (2020) (1)
- Competitive Security Pricing in Cyber-Insurance Market: A Game-Theoretic Analysis (2018) (1)
- Computation Offloading and Energy Harvesting Schemes for Sum Rate Maximization in Space-Air-Ground Networks (2022) (1)
- Minimizing Confident Information Coverage Breach in Rechargeable Wireless Sensor Networks with Uneven Recharging Rates (2016) (1)
- ReflectU: A Mirror-Based Intelligent Interactive System for Intuitive Remote Control (2022) (1)
- Optimal Stochastic Coded Computation Offloading in Unmanned Aerial Vehicles Network (2021) (1)
- Learning-based Sustainable Multi-User Computation Offloading for Mobile Edge-Quantum Computing (2022) (1)
- Online-Learning-Based Fast-Convergent and Energy-Efficient Device Selection in Federated Edge Learning (2023) (1)
- UAV-assisted Wireless Power Charging for Efficient Hybrid Coded Edge Computing Network (2022) (1)
- Lead federated neuromorphic learning for edge artificial intelligence (2022) (1)
- Stochastic Qubit Resource Allocation for Quantum Cloud Computing (2022) (1)
- Deep Reinforcement Learning Based Intelligent Reflecting Surface for Secure Wireless Communications (2020) (1)
- Joint Network Topology Inference via Structural Fusion Regularization (2021) (1)
- Resource Optimization for Blockchain-based Federated Learning in Mobile Edge Computing (2022) (1)
- Session details: BSCI Short Paper & Poster Session (2022) (0)
- Dynamic Incentive Mechanism Design for COVID-19 Social Distancing (2022) (0)
- Evolutionary Model Owner Selection for Federated Learning with Heterogeneous Privacy Budgets (2022) (0)
- Incentive Mechanism for Socially-Aware Mobile Crowdsensing: A Bayesian Stackelberg Game (2020) (0)
- Joint Parking and Power Management for Electric Vehicle Edge Computing: A Bilevel Optimization Approach (2022) (0)
- Fast and Secure Consortium Blockchains with Lightweight Block Verifiers (2021) (0)
- Guest Editorial Introduction to the Special Section on Collaborative Machine Learning for Next-Generation Intelligent Applications (2022) (0)
- AI-Generated 6G Internet Design: A Diffusion Model-based Learning Approach (2023) (0)
- Adaptive Interference Elimination and Regeneration Scheme for Cooperative MIMO System (2022) (0)
- Game theoretic sponsored content management in mobile data market (2020) (0)
- A Game-based Incentive-driven Offloading Framework for Dispersed Computing (2023) (0)
- Dynamic Edge Association in Hierarchical Federated Learning Networks (2021) (0)
- A Hierarchical Incentive Mechanism for Coded Federated Learning (2021) (0)
- Sparks of GPTs in Edge Intelligence for Metaverse: Caching and Inference for Mobile AIGC Services (2023) (0)
- Stochastic Geometry-Based Age of Information Performance Analysis for Privacy Preservation-Oriented Mobile Crowdsensing (2023) (0)
- Incentive mechanism for federated learning based on blockchain and Bayesian game (2022) (0)
- Composite Time-Frequency Analysis and Siamese Neural Network based Compound Interference Identification for Hopping Frequency System (2021) (0)
- Guest Editorial Special Issue on Intelligent Blockchain for Future Communications and Networking: Technologies, Trends, and Applications (2022) (0)
- From Eye to Brain: A Proactive and Distributed Crowdsensing Framework for Federated Learning (2023) (0)
- 3D Beamforming Based on Deep Learning for Secure Communication in 5G and Beyond Wireless Networks (2021) (0)
- Resource Optimization for UAV-assisted Wireless Power Charging Enabled Hybrid Coded Edge Computing Network (2023) (0)
- Dynamic Active-Passive Beamforming for Intelligent Reflecting Surface Aided UAV Communications (2021) (0)
- Hypergraph-Based Resource Allocation for Ultra-Dense Wireless Network in Industrial IoT (2022) (0)
- zk-PCN: A Privacy-Preserving Payment Channel Network Using zk-SNARKs (2022) (0)
- An Incentive Mechanism for Resource Allocation in Coded Distributed Computing (2021) (0)
- IEEE TCCN Special Section Editorial: Convergence of Collaborative Distributed Machine Learning and Edge Computing Toward Intelligent Networking (2021) (0)
- Exploring Collaborative Distributed Diffusion-Based AI-Generated Content (AIGC) in Wireless Networks (2023) (0)
- Cooperative Reinforcement Learning Aided Dynamic Routing in UAV Swarm Networks (2022) (0)
- Towards the Future Data Market: Reward Optimization in Mobile Data Subsidization (2020) (0)
- Energy-Efficient Computation Peer Offloading in Satellite Edge Computing Networks (2023) (0)
- Learning to Routing in UAV Swarm Network: A Multi-agent Reinforcement Learning Approach (2022) (0)
- Guest Editorial The Nexus Between Edge Computing and AI for 6G Networks (2023) (0)
- Economics of Semantic Communication in Metaverse: An Auction Approach (2023) (0)
- Lagrange Coded Federated Learning (L-CoFL) Model for Internet of Vehicles (2022) (0)
- Building Resilient Web 3.0 with Quantum Information Technologies and Blockchain: An Ambilateral View (2023) (0)
- Performance Analysis of Free-Space Information Sharing in Full-Duplex Semantic Communications (2022) (0)
- DADFNet: Dual Attention and Dual Frequency-Guided Dehazing Network for Video-Empowered Intelligent Transportation (2023) (0)
- Multiple-Agent Deep Reinforcement Learning for Avatar Migration in Vehicular Metaverses (2023) (0)
- CrowdFL: A Marketplace for Crowdsourced Federated Learning (2022) (0)
- Applicable and Partial Learning of Graph Topology Without Sparsity Priors (2023) (0)
- Multi-Resource Allocation for On-Device Distributed Federated Learning Systems (2022) (0)
- Adaptive User Association Scheme for Indoor Multi-User NOMA-VLC Systems (2023) (0)
- Correction to: Scalable and Communication-Efficient Decentralized Federated Edge Learning with Multi-blockchain Framework (2020) (0)
- IRS-Assisted UAV Covert Communication via Location and Power Optimization (2022) (0)
- Optimal Block Propagation and Incentive Mechanism for Blockchain Networks in 6G (2022) (0)
- Guest Editorial: Intelligent metasurfaces for smart connectivity (2022) (0)
- Footstone of Metaverse: A Timely and Secure Crowdsensing (2023) (0)
- Reputation-Aware Federated Learning Client Selection based on Stochastic Integer Programming (2022) (0)
- Intelligent Edge-Aided Network Slicing for 5G and Beyond Networks (2022) (0)
- Robust Design for the IRS-Assisted Multicast Communications with Statistical CSI Errors (2022) (0)
- Edge Computing-Enabled Multi-Sensor Data Fusion for Intelligent Surveillance in Maritime Transportation Systems (2022) (0)
- Multi-Leader Multi-Follower Game-based Incentive Scheme for Socially-Aware Mobile Crowdsensing (2021) (0)
- Exploring Blockchain Technology through a Modular Lens: A Survey (2023) (0)
- A Double Auction Mechanism for Coded Distributed Computing in Smart Vehicles (2021) (0)
- Network Effects (2020) (0)
- 基于区块链和贝叶斯博弈的联邦学习激励机制 (2022) (0)
- Relay-Assisted Partial Interference Elimination Schemes for K-User Delay-Sensitive Networks (2023) (0)
- Deep Generative Model and Its Applications in Efficient Wireless Network Management: A Tutorial and Case Study (2023) (0)
- Deep Reinforcement Learning Based Big Data Resource Management for 5G/6G Communications (2021) (0)
- Author Correction: Lead federated neuromorphic learning for wireless edge artificial intelligence (2022) (0)
- Joint Routing and Scheduling With Cyclic Queuing and Forwarding for Time-Sensitive Networks (2023) (0)
- Guiding AI-Generated Digital Content with Wireless Perception (2023) (0)
- A&B: AI and Block-Based TCAM Entries Replacement Scheme for Routers (2022) (0)
- Optimization of Intelligent Reflecting Surface Aided Wireless Networks with User Mobility (2022) (0)
- AIS Data-Based Efficient Ship Trajectory Clustering (2022) (0)
- Peer Effect-based Demand Response in Smart Grid: A Game Theoretical Approach (2020) (0)
- Secure Information Transmission for B5G HetNets: A Robust Game Approach (2022) (0)
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