227 citations · 581 across the 18 of their papers we have counts for
6 papers · 1 filter
Collaborative Coded Computation Offloading: An All-pay Auction Approach
Jer Shyuan Ng, Wei Yang Bryan Lim, Sahil Garg +4
As the amount of data collected for crowdsensing applications increases rapidly due to improved sensing capabilities and the increasing number of Internet of Things (IoT) devices,…
A Survey of Coded Distributed Computing
Jer Shyuan Ng, Wei Yang Bryan Lim, Nguyen Cong Luong +5
Distributed computing has become a common approach for large-scale computation of tasks due to benefits such as high reliability, scalability, computation speed, and costeffectiven…
Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework with UAV Swarms
Yi Liu, Jiangtian Nie, Xuandi Li +3
Due to air quality significantly affects human health, it is becoming increasingly important to accurately and timely predict the Air Quality Index (AQI). To this end, this paper p…
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 +6
Due to the advanced capabilities of the Internet of Vehicles (IoV) components such as vehicles, Roadside Units (RSUs) and smart devices as well as the increasing amount of data gen…
Incentive Mechanism Design for Resource Sharing in Collaborative Edge Learning
Wei Yang Bryan Lim, Jer Shyuan Ng, Zehui Xiong +4
In 5G and Beyond networks, Artificial Intelligence applications are expected to be increasingly ubiquitous. This necessitates a paradigm shift from the current cloud-centric model…
Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach
Wei Yang Bryan Lim, Jianqiang Huang, Zehui Xiong +5
Coupled with the rise of Deep Learning, the wealth of data and enhanced computation capabilities of Internet of Vehicles (IoV) components enable effective Artificial Intelligence (…