activity
20152020
most citedFederated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework with UAV Swarms

227 citations · 381 across the 15 of their papers we have counts for

collaborators

25 papers

cs.CV20203 cited

Structure-Aware Generation Network for Recipe Generation from Images

Hao Wang, Guosheng Lin, Steven C. H. Hoi +1

Sharing food has become very popular with the development of social media. For many real-world applications, people are keen to know the underlying recipes of a food item. In this…

cs.DC202022 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.CR202011 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…

eess.SP2020227 cited

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…

cs.NI20206 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.NI202029 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…