activity
20192022
most citedFederated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework with UAV Swarms

227 citations · 328 across the 12 of their papers we have counts for

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Showing cs.NIShow all

5 papers · 1 filter

cs.NI2022

Semantic Communication Meets Edge Intelligence

Wanting Yang, Zi Qin Liew, Wei Yang Bryan Lim +5

The development of emerging applications, such as autonomous transportation systems, are expected to result in an explosive growth in mobile data traffic. As the available spectrum…

cs.NI202210 cited

Realizing the Metaverse with Edge Intelligence: A Match Made in Heaven

Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato +4

Dubbed "the successor to the mobile Internet", the concept of the Metaverse has recently exploded in popularity. While there exists lite versions of the Metaverse today, we are sti…

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…

cs.NI2019

Federated Learning in Mobile Edge Networks: A Comprehensive Survey

Wei Yang Bryan Lim, Nguyen Cong Luong, Dinh Thai Hoang +5

In recent years, mobile devices are equipped with increasingly advanced sensing and computing capabilities. Coupled with advancements in Deep Learning (DL), this opens up countless…