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20092023
most citedIncentive Mechanism Design for Resource Sharing in Collaborative Edge Learning

29 citations · 207 across the 17 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

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.PF2020★ 1 cited

Optimal Transaction Queue Waiting in Blockchain Mining

Gholamreza Ramezan, Cyril Leung, Chunyan Miao

Blockchain systems are being used in a wide range of application domains. They can support trusted transactions in time critical applications. In this paper, we study how miners sh…

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.CR2020★ 11 cited

Scalable and Communication-efficient Decentralized Federated Edge Learning with Multi-blockchain Framework

Jiawen Kang, Zehui Xiong, Chunxiao Jiang +6

The emerging Federated Edge Learning (FEL) technique has drawn considerable attention, which not only ensures good machine learning performance but also solves "data island" proble…

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…

eess.SP2020★ 24 cited

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 (…