Jer Shyuan Ng
Orcid: 0000-0003-2772-8977
According to our database1,
Jer Shyuan Ng authored at least 34 papers
between 2020 and 2026.
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Bibliography
2026
Federated Unlearning in Edge Networks: A Survey of Fundamentals, Challenges, Practical Applications and Future Directions.
CoRR, January, 2026
SSFU: Selective Semantic Feature Unlearning for Federated Learning in 6G Internet of Things Systems.
IEEE Internet Things J., 2026
2025
Edge Association Strategies for Synthetic Data Empowered Hierarchical Federated Learning With Non-IID Data.
IEEE Internet Things J., 2025
An Evolutionary Approach Towards Synthetic Data Empowered Hierarchical Federated Learning.
Proceedings of the International Wireless Communications and Mobile Computing, 2025
2023
PhD thesis, 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
A Hierarchical Incentive Design Toward Motivating Participation in Coded Federated Learning.
IEEE J. Sel. Areas Commun., 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 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
Dynamic Edge Association and Resource Allocation in Self-Organizing Hierarchical Federated Learning Networks.
IEEE J. Sel. Areas Commun., 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
CoRR, 2020
Proceedings of the 16th International Conference on Mobility, Sensing and Networking, 2020
Communication-Efficient Federated Learning in UAV-enabled IoV: A Joint Auction-Coalition Approach.
Proceedings of the IEEE Global Communications Conference, 2020