activity
20202026
most citedIncentive Mechanism Design for Resource Sharing in Collaborative Edge Learning

29 citations · 69 across the 7 of their papers we have counts for

collaborators

8 papers

cs.DC2026

Federated Unlearning in Edge Networks: A Survey of Fundamentals, Challenges, Practical Applications and Future Directions

Jer Shyuan Ng, Wathsara Daluwatta, Shehan Edirimannage +5

The proliferation of connected devices and privacy-sensitive applications has accelerated the adoption of Federated Learning (FL), a decentralized paradigm that enables collaborati…

cs.GT2021

Optimal Stochastic Coded Computation Offloading in Unmanned Aerial Vehicles Network

Wei Chong Ng, Wei Yang Bryan Lim, Jer Shyuan Ng +3

Today, modern unmanned aerial vehicles (UAVs) are equipped with increasingly advanced capabilities that can run applications enabled by machine learning techniques, which require c…

cs.GT2021★ 3 cited

Unified Resource Allocation Framework for the Edge Intelligence-Enabled Metaverse

Wei Chong Ng, Wei Yang Bryan Lim, Jer Shyuan Ng +3

Dubbed as the next-generation Internet, the metaverse is a virtual world that allows users to interact with each other or objects in real-time using their avatars. The metaverse is…

cs.GT2021★ 9 cited

A Game-theoretic Approach Towards Collaborative Coded Computation Offloading

Jer Shyuan Ng, Wei Yang Bryan Lim, Zehui Xiong +5

Coded distributed computing (CDC) has emerged as a promising approach because it enables computation tasks to be carried out in a distributed manner while mitigating straggler effe…

cs.DC2020

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,…

cs.DC2020★ 22 cited

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…

cs.NI2020★ 6 cited

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…

cs.NI2020★ 29 cited

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…