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Yutao Jiao
Researcher at Nanyang Technological University
Publications - 43
Citations - 2488
Yutao Jiao is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: Computer science & Service provider. The author has an hindex of 11, co-authored 27 publications receiving 1066 citations. Previous affiliations of Yutao Jiao include Penn State College of Communications.
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.
Posted Content
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
Auction Mechanisms in Cloud/Fog Computing Resource Allocation for Public Blockchain Networks
TL;DR: This work focuses on the trading between the cloud/fog computing service provider and miners, and proposes an auction-based market model for efficient computing resource allocation, and designs an approximate algorithm which guarantees the truthfulness, individual rationality and computational efficiency.
Journal ArticleDOI
Spectrum Inference in Cognitive Radio Networks: Algorithms and Applications
TL;DR: This paper presents the preliminaries of spectrum inference, including the sources of spectrum occupancy statistics, the models of spectrum usage, and characterize the predictability of spectrum state evolution, and offers an in-depth tutorial on the existing algorithms.
Proceedings ArticleDOI
Social Welfare Maximization Auction in Edge Computing Resource Allocation for Mobile Blockchain
TL;DR: In this paper, an auction-based edge computing resource allocation mechanism for the edge computing service provider is proposed to maximize the social welfare while guaranteeing the truthfulness, individual rationality and computational efficiency.