Wei Yang Bryan Lim
Orcid: 0000-0003-2150-5561
According to our database1,
Wei Yang Bryan Lim
authored at least 75 papers
between 2020 and 2024.
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Collaborative distances:
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Bibliography
2024
Reputation-Aware Federated Learning Client Selection Based on Stochastic Integer Programming.
IEEE Trans. Big Data, December, 2024
Distributionally Robust Cost Minimized Edge Semantic Intelligence in the Sustainable Metaverse.
IEEE Trans. Mob. Comput., July, 2024
Stochastic Resource Optimization for Wireless Powered Hybrid Coded Edge Computing Networks.
IEEE Trans. Mob. Comput., March, 2024
Cooperative Resource Management in Quantum Key Distribution (QKD) Networks for Semantic Communication.
IEEE Internet Things J., February, 2024
Mechanism Design for Semantic Communication in UAV-Assisted Metaverse: A Combinatorial Auction Approach.
IEEE Trans. Veh. Technol., 2024
Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning.
CoRR, 2024
Enhancing Security and Privacy in Federated Learning using Update Digests and Voting-Based Defense.
CoRR, 2024
GIoV: Achieving Generative AI Services in Internet of Vehicles via Collaborative Edge Intelligence.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024
Stochastic Resource Allocation for Semantic Communication-Aided Virtual Transportation Networks in the Metaverse.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024
Proceedings of the International Conference on Information Networking, 2024
2023
IEEE Wirel. Commun., October, 2023
IEEE Trans. Veh. Technol., October, 2023
Toward Green Metaverse Networking: Technologies, Advancements, and Future Directions.
IEEE Netw., September, 2023
IEEE Wirel. Commun., August, 2023
Stochastic Coded Offloading Scheme for Unmanned-Aerial-Vehicle-Assisted Edge Computing.
IEEE Internet Things J., April, 2023
Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges.
IEEE Commun. Surv. Tutorials, 2023
A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges.
IEEE Commun. Surv. Tutorials, 2023
Blockchain for Decentralized Know Your Customer (KYC) and Customer Due Diligence (CDD) Pipelines in the Metaverse.
Proceedings of the IEEE International Conference on Metaverse Computing, 2023
Proceedings of the IEEE International Conference on Metaverse Computing, 2023
Reputation-Aware Opportunistic Budget Optimization for Auction-based Federation Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023
Privacy Budget-Aware Incentive Mechanism for Federated Learning in Intelligent Transportation Systems.
Proceedings of the IEEE International Conference on Communications, 2023
Sustainable AIGC Workload Scheduling of Geo-Distributed Data Centers: A Multi-Agent Reinforcement Learning Approach.
Proceedings of the IEEE Global Communications Conference, 2023
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023
2022
Wireless Networks, Springer, ISBN: 978-3-031-07837-8, 2022
A Double Auction Mechanism for Resource Allocation in Coded Vehicular Edge Computing.
IEEE Trans. Veh. Technol., 2022
Reputation-Aware Hedonic Coalition Formation for Efficient Serverless Hierarchical Federated Learning.
IEEE Trans. Parallel Distributed Syst., 2022
Decentralized Edge Intelligence: A Dynamic Resource Allocation Framework for Hierarchical Federated Learning.
IEEE Trans. Parallel Distributed Syst., 2022
Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things.
IEEE Trans. Netw. Sci. Eng., 2022
Toward Efficient Data Trading in AI Enabled Reconfigurable Wireless Sensor Network Using Contract and Game Theories.
IEEE Trans. Netw. Sci. Eng., 2022
When Information Freshness Meets Service Latency in Federated Learning: A Task-Aware Incentive Scheme for Smart Industries.
IEEE Trans. Ind. Informatics, 2022
Aerial Refueling: Scheduling Wireless Energy Charging for UAV Enabled Data Collection.
IEEE Trans. Green Commun. Netw., 2022
A Hierarchical Incentive Design Toward Motivating Participation in Coded Federated Learning.
IEEE J. Sel. Areas Commun., 2022
CoRR, 2022
Semantic Communications for 6G Future Internet: Fundamentals, Applications, and Challenges.
CoRR, 2022
UAV-assisted Wireless Power Charging for Efficient Hybrid Coded Edge Computing Network.
Proceedings of the IEEE International Conference on Communications, 2022
Proceedings of the IEEE International Conference on Communications, 2022
Evolutionary Model Owner Selection for Federated Learning with Heterogeneous Privacy Budgets.
Proceedings of the IEEE International Conference on Communications, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the 20th IEEE International Conference on Embedded and Ubiquitous Computing, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Joint Auction-Coalition Formation Framework for Communication-Efficient Federated Learning in UAV-Enabled Internet of Vehicles.
IEEE Trans. Intell. Transp. Syst., 2021
Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach.
IEEE Trans. Intell. Transp. Syst., 2021
IEEE Trans. Cogn. Commun. Netw., 2021
UAV-Assisted Communication Efficient Federated Learning in the Era of the Artificial Intelligence of Things.
IEEE Netw., 2021
Dynamic Edge Association and Resource Allocation in Self-Organizing Hierarchical Federated Learning Networks.
IEEE J. Sel. Areas Commun., 2021
Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework With UAV Swarms.
IEEE Internet Things J., 2021
IEEE Internet Things J., 2021
CoRR, 2021
A Comprehensive Survey on Coded Distributed Computing: Fundamentals, Challenges, and Networking Applications.
IEEE Commun. Surv. Tutorials, 2021
Proceedings of the 18th International Conference on Wireless Networks and Mobile Systems, 2021
Proceedings of the 20th IEEE International Conference on Trust, 2021
Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Deep-learning Based Auction Resource Allocation in Coded Computation Offloading for Internet-of-Things.
Proceedings of the IEEE International Conference on Communications Workshops, 2021
Proceedings of the ICC 2021, 2021
Towards Parkinson's Disease Prognosis Using Self-Supervised Learning and Anomaly Detection.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE Global Communications Conference, 2021
Proceedings of the 15th IEEE International Conference on Big Data Science and Engineering, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile Networks.
IEEE Internet Things J., 2020
CoRR, 2020
IEEE Commun. Surv. Tutorials, 2020
Privacy is not Free: Energy-Aware Federated Learning for Mobile and Edge Intelligence.
Proceedings of the 2020 International Conference on Wireless Communications and Signal Processing (WCSP), 2020
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020
Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020
Proceedings of the 16th International Conference on Mobility, Sensing and Networking, 2020
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 in UAV-enabled IoV: A Joint Auction-Coalition Approach.
Proceedings of the IEEE Global Communications Conference, 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