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Wei Yang Bryan Lim
Researcher at Nanyang Technological University
Publications - 56
Citations - 2914
Wei Yang Bryan Lim is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: Computer science & Enhanced Data Rates for GSM Evolution. The author has an hindex of 9, co-authored 35 publications receiving 809 citations. Previous affiliations of Wei Yang Bryan Lim include Alibaba Group.
Papers
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Journal ArticleDOI
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
Wei Yang Bryan Lim,Nguyen Cong Luong,Dinh Thai Hoang,Yutao Jiao,Ying-Chang Liang,Qiang Yang,Dusit Niyato,Chunyan Miao +7 more
TL;DR: The concept of federated learning (FL) as mentioned in this paperederated learning has been proposed to enable collaborative training of an ML model and also enable DL for mobile edge network optimization in large-scale and complex mobile edge networks, where heterogeneous devices with varying constraints are involved.
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Federated Learning in Mobile Edge Networks: A Comprehensive Survey
Wei Yang Bryan Lim,Nguyen Cong Luong,Dinh Thai Hoang,Yutao Jiao,Ying-Chang Liang,Qiang Yang,Dusit Niyato,Chunyan Miao +7 more
TL;DR: In a large-scale and complex mobile edge network, heterogeneous devices with varying constraints are involved, this raises challenges of communication costs, resource allocation, and privacy and security in the implementation of FL at scale.
Journal ArticleDOI
Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach
Wei Yang Bryan Lim,Jianqiang Huang,Zehui Xiong,Jiawen Kang,Dusit Niyato,Xian-Sheng Hua,Cyril Leung,Chunyan Miao +7 more
TL;DR: This work proposes the adoption of a Federated Learning (FL) based approach to enable privacy-preserving collaborative Machine Learning across a federation of independent DaaS providers for the development of IoV applications, e.g., for traffic prediction and car park occupancy management.
Journal ArticleDOI
Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile Networks
Wei Yang Bryan Lim,Zehui Xiong,Chunyan Miao,Dusit Niyato,Qiang Yang,Cyril Leung,H. Vincent Poor +6 more
TL;DR: A federated learning (FL)-based privacy-preserving approach to facilitate collaborative machine learning among multiple model owners in mobile crowdsensing and considers the inherent hierarchical structure of the involved entities to propose a hierarchical incentive mechanism framework.
Journal ArticleDOI
Decentralized Edge Intelligence: A Dynamic Resource Allocation Framework for Hierarchical Federated Learning
Wei Yang Bryan Lim,Jer Shyuan Ng,Zehui Xiong,Jiangming Jin,Yang Zhang,Dusit Niyato,Cyril Leung,Chunyan Miao +7 more
TL;DR: In this article, a two-level resource allocation and incentive mechanism design problem is considered in the Hierarchical Federated Learning (HFL) framework, where cluster heads are designated to support the data owners through intermediate model aggregation.