Jer Shyuan Ng

According to our database, Jer Shyuan Ng authored at least 30 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Robust incentive mechanisms for efficient and secure coded edge intelligence

Jer Shyuan Ng

PhD thesis, 2023

2022

Federated Learning Over Wireless Edge Networks

Wei Yang Bryan Lim, Jer Shyuan Ng, Zehui Xiong, Dusit Niyato, Chunyan Miao

Wireless Networks, Springer, ISBN: 978-3-031-07837-8, 2022

A Double Auction Mechanism for Resource Allocation in Coded Vehicular Edge Computing.

Jer Shyuan Ng, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Cyril Leung, Chunyan Miao

IEEE Trans. Veh. Technol., 2022

Reputation-Aware Hedonic Coalition Formation for Efficient Serverless Hierarchical Federated Learning.

Jer Shyuan Ng, Wei Yang Bryan Lim, Zehui Xiong, Xianbin Cao, Jiangming Jin, Dusit Niyato, Cyril Leung, Chunyan Miao

IEEE Trans. Parallel Distributed Syst., 2022

Decentralized Edge Intelligence: A Dynamic Resource Allocation Framework for Hierarchical Federated Learning.

Wei Yang Bryan Lim, Jer Shyuan Ng, Zehui Xiong, Jiangming Jin, Yang Zhang, Dusit Niyato, Cyril Leung, Chunyan Miao

IEEE Trans. Parallel Distributed Syst., 2022

A Hierarchical Incentive Design Toward Motivating Participation in Coded Federated Learning.

Jer Shyuan Ng, Wei Yang Bryan Lim, Zehui Xiong, Xianbin Cao, Dusit Niyato, Cyril Leung, Dong In Kim

IEEE J. Sel. Areas Commun., 2022

UAV-assisted Wireless Power Charging for Efficient Hybrid Coded Edge Computing Network.

Jer Shyuan Ng, Wei Chong Ng, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Cyril Leung, Chunyan Miao

Proceedings of the IEEE International Conference on Communications, 2022

Unified Resource Allocation Framework for the Edge Intelligence-Enabled Metaverse.

Wei Chong Ng, Wei Yang Bryan Lim, Jer Shyuan Ng, Zehui Xiong, Dusit Niyato, Chunyan Miao

Proceedings of the IEEE International Conference on Communications, 2022

Evolutionary Model Owner Selection for Federated Learning with Heterogeneous Privacy Budgets.

Wei Yang Bryan Lim, Jer Shyuan Ng, Jiangtian Nie, Qin Hu, Zehui Xiong, Dusit Niyato, Chunyan Miao

Proceedings of the IEEE International Conference on Communications, 2022

Dynamic Incentive Mechanism Design for COVID-19 Social Distancing.

Xuan Rong Zane Ho, Wei Yang Bryan Lim, Hongchao Jiang, Jer Shyuan Ng, Han Yu, Zehui Xiong, Dusit Niyato, Chunyan Miao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

CrowdFL: A Marketplace for Crowdsourced Federated Learning.

Daifei Feng, Cicilia Helena, Wei Yang Bryan Lim, Jer Shyuan Ng, Hongchao Jiang, Zehui Xiong, Jiawen Kang, Han Yu, Dusit Niyato, Chunyan Miao

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.

Jer Shyuan Ng, Wei Yang Bryan Lim, Hong-Ning Dai, Zehui Xiong, Jianqiang Huang, Dusit Niyato, Xian-Sheng Hua, Cyril Leung, Chunyan Miao

IEEE Trans. Intell. Transp. Syst., 2021

Dynamic Edge Association and Resource Allocation in Self-Organizing Hierarchical Federated Learning Networks.

Wei Yang Bryan Lim, Jer Shyuan Ng, Zehui Xiong, Dusit Niyato, Chunyan Miao, Dong In Kim

IEEE J. Sel. Areas Commun., 2021

A Game-theoretic Approach Towards Collaborative Coded Computation Offloading.

Jer Shyuan Ng, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Cyril Leung, Dong In Kim, Junshan Zhang, Qiang Yang

CoRR, 2021

A Comprehensive Survey on Coded Distributed Computing: Fundamentals, Challenges, and Networking Applications.

Jer Shyuan Ng, Wei Yang Bryan Lim, Nguyen Cong Luong, Zehui Xiong, Alia Asheralieva, Dusit Niyato, Cyril Leung, Chunyan Miao

IEEE Commun. Surv. Tutorials, 2021

A Double Auction Mechanism for Coded Distributed Computing in Smart Vehicles.

Jer Shyuan Ng, Wei Yang Bryan Lim, Zehui Xiong, Sahil Garg, Yang Zhang, Dusit Niyato, Cyril Leung

Proceedings of the 18th International Conference on Wireless Networks and Mobile Systems, 2021

Dynamic Edge Association in Hierarchical Federated Learning Networks.

Wei Yang Bryan Lim, Jer Shyuan Ng, Zehui Xiong, Sahil Garg, Yang Zhang, Dusit Niyato, Chunyan Miao

Proceedings of the 20th IEEE International Conference on Trust, 2021

A Hierarchical Incentive Mechanism for Coded Federated Learning.

Jer Shyuan Ng, Wei Yang Bryan Lim, Zehui Xiong, Xianjun Deng, Yang Zhang, Dusit Niyato, Cyril Leung

Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

Communication-efficient and Scalable Decentralized Federated Edge Learning.

Austine Zong Han Yapp, Hong Soo Nicholas Koh, Yan Ting Lai, Jiawen Kang, Xuandi Li, Jer Shyuan Ng, Hongchao Jiang, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Predictive Analytics for COVID-19 Social Distancing.

Harold Ze Chie Teng, Hongchao Jiang, Xuan Rong Zane Ho, Wei Yang Bryan Lim, Jer Shyuan Ng, Han Yu, Zehui Xiong, Dusit Niyato, Chunyan Miao

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.

Jer Shyuan Ng, Wei Yang Bryan Lim, Zehui Xiong, Sahil Garg, Dusit Niyato, Cyril Leung

Proceedings of the IEEE International Conference on Communications Workshops, 2021

Collaborative Coded Computation Offloading: An All-pay Auction Approach.

Jer Shyuan Ng, Wei Yang Bryan Lim, Sahil Garg, Zehui Xiong, Dusit Niyato, Mohsen Guizani, Cyril Leung

Proceedings of the ICC 2021, 2021

Towards Parkinson's Disease Prognosis Using Self-Supervised Learning and Anomaly Detection.

Hongchao Jiang, Wei Yang Bryan Lim, Jer Shyuan Ng, Yu Wang, Ying Chi, Chunyan Miao

Proceedings of the IEEE International Conference on Acoustics, 2021

Optimal Stochastic Coded Computation Offloading in Unmanned Aerial Vehicles Network.

Wei Chong Ng, Wei Yang Bryan Lim, Jer Shyuan Ng, Suttinee Sawadsitang, Zehui Xiong, Dusit Niyato

Proceedings of the IEEE Global Communications Conference, 2021

An Incentive Mechanism for Resource Allocation in Coded Distributed Computing.

Jer Shyuan Ng, Wei Yang Bryan Lim, Zehui Xiong, Sahil Garg, Dusit Niyato, Cyril Leung

Proceedings of the 15th IEEE International Conference on Big Data Science and Engineering, 2021

AI-Empowered Decision Support for COVID-19 Social Distancing.

Hongchao Jiang, Wei Yang Bryan Lim, Jer Shyuan Ng, Harold Ze Chie Teng, Han Yu, Zehui Xiong, Dusit Niyato, Chunyan Miao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Survey of Coded Distributed Computing.

Jer Shyuan Ng, Wei Yang Bryan Lim, Nguyen Cong Luong, Zehui Xiong, Alia Asheralieva, Dusit Niyato, Cyril Leung, Chunyan Miao

CoRR, 2020

Incentive Mechanism Design for Resource Sharing in Collaborative Edge Learning.

Wei Yang Bryan Lim, Jer Shyuan Ng, Zehui Xiong, Dusit Niyato, Cyril Leung, Chunyan Miao, Qiang Yang

CoRR, 2020

Dynamic Resource Allocation for Hierarchical Federated Learning.

Wei Yang Bryan Lim, Jer Shyuan Ng, Zehui Xiong, Dusit Niyato, Song Guo, Cyril Leung, Chunyan Miao

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.

Jer Shyuan Ng, Wei Yang Bryan Lim, Hong-Ning Dai, Zehui Xiong, Jianqiang Huang, Dusit Niyato, Xian-Sheng Hua, Cyril Leung, Chunyan Miao

Proceedings of the IEEE Global Communications Conference, 2020