Search Results - "Leung, Cyril"

Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach by Lim, Wei Yang Bryan, Huang, Jianqiang, Xiong, Zehui, Kang, Jiawen, Niyato, Dusit, Hua, Xian-Sheng, Leung, Cyril, Miao, Chunyan

“…Coupled with the rise of Deep Learning, the wealth of data and enhanced computation capabilities of Internet of Vehicles (IoV) components enable effective…”
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Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile Networks by Lim, Wei Yang Bryan, Xiong, Zehui, Miao, Chunyan, Niyato, Dusit, Yang, Qiang, Leung, Cyril, Poor, H. Vincent

“…In recent years, the enhanced sensing and computation capabilities of Internet-of-Things (IoT) devices have opened the doors to several mobile crowdsensing…”
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Reputation-Aware Hedonic Coalition Formation for Efficient Serverless Hierarchical Federated Learning by Ng, Jer Shyuan, Lim, Wei Yang Bryan, Xiong, Zehui, Cao, Xianbin, Jin, Jiangming, Niyato, Dusit, Leung, Cyril, Miao, Chunyan

“…Amid growing concerns on data privacy, Federated Learning (FL) has emerged as a promising privacy preserving distributed machine learning paradigm. Given that…”
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Joint Auction-Coalition Formation Framework for Communication-Efficient Federated Learning in UAV-Enabled Internet of Vehicles by Ng, Jer Shyuan, Lim, Wei Yang Bryan, Dai, Hong-Ning, Xiong, Zehui, Huang, Jianqiang, Niyato, Dusit, Hua, Xian-Sheng, Leung, Cyril, Miao, Chunyan

“…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…”
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Resource allocation in an OFDM-based cognitive radio system by Zhang, Yonghong, Leung, Cyril

“…The problem of subcarrier, bit and power allocation for an OFDM based cognitive radio system in which one or more spectrum holes exist between multiple primary…”
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A Hierarchical Incentive Design Toward Motivating Participation in Coded Federated Learning by Ng, Jer Shyuan, Lim, Wei Yang Bryan, Xiong, Zehui, Cao, Xianbin, Niyato, Dusit, Leung, Cyril, Kim, Dong In

“…Federated Learning (FL) is a privacy-preserving collaborative learning approach that trains artificial intelligence (AI) models without revealing local…”
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UAV-Assisted Communication Efficient Federated Learning in the Era of the Artificial Intelligence of Things by Lim, Wei Yang Bryan, Garg, Sahil, Xiong, Zehui, Zhang, Yang, Niyato, Dusit, Leung, Cyril, Miao, Chunyan

“…Artificial Intelligence (AI) based models are increasingly deployed in the Internet of Things (IoT), paving the evolution of the IoT into the AI of things…”
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Proportional Fair Multiuser Scheduling in LTE by Kwan, R., Leung, C., Zhang, J.

“…The challenge of scheduling user transmissions on the downlink of a long term evolution (LTE) cellular communication system is addressed. A maximum rate…”
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A Survey of Multi-Agent Trust Management Systems by Han Yu, Zhiqi Shen, Leung, Cyril, Chunyan Miao, Lesser, Victor R.

“…In open and dynamic multiagent systems (MASs), agents often need to rely on resources or services provided by other agents to accomplish their goals. During…”
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A Survey of Scheduling and Interference Mitigation in LTE by Kwan, Raymond, Leung, Cyril

“…Among the goals of 3GPP LTE networks are higher user bit rates, lower delays, increased spectrum efficiency, support for diverse QoS requirements, reduced…”
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A Coral Reef Algorithm Based on Learning Automata for the Coverage Control Problem of Heterogeneous Directional Sensor Networks by Li, Ming, Miao, Chunyan, Leung, Cyril

“…Coverage control is one of the most fundamental issues in directional sensor networks. In this paper, the coverage optimization problem in a directional sensor…”
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Towards AI-powered personalization in MOOC learning by Yu, Han, Miao, Chunyan, Leung, Cyril, White, Timothy John

“…Massive Open Online Courses (MOOCs) represent a form of large-scale learning that is changing the landscape of higher education. In this paper, we offer a…”
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Mitigating Herding in Hierarchical Crowdsourcing Networks by Yu, Han, Miao, Chunyan, Leung, Cyril, Chen, Yiqiang, Fauvel, Simon, Lesser, Victor R., Yang, Qiang

“…Hierarchical crowdsourcing networks (HCNs) provide a useful mechanism for social mobilization. However, spontaneous evolution of the complex resource…”
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A Blockchain-Based Personal Health Record System for Emergency Situation by Liu, Yuan, Du, Yan, Zhang, Yanan, Li, Yuan, Cyril, Leung, Miao, Chunyan, Tan, Qingfeng, Tian, Zhihong

“…A personal health record (PHR) system stores personal health-related information, which can assist physicians in quickly forming appropriate treatment plans in…”
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Towards Collaborative Edge Intelligence: Blockchain-Based Data Valuation and Scheduling for Improved Quality of Service by Du, Yao, Wang, Zehua, Leung, Cyril, Leung, Victor C. M.

“…Collaborative edge intelligence, a distributed computing paradigm, refers to a system where multiple edge devices work together to process data and perform…”
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Power Allocation in an RF Energy Harvesting DF Relay Network in the Presence of an Interferer by Elmorshedy, Lina, Leung, Cyril

“…In this paper, we study a cooperative wireless relay network in which multiple sourcedestination pairs communicate via a decode-and-forward relay, which…”
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Message from Editors-in-Chief by Yueting Chai, Chunyan Miao, Cyril Leung

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Smart Decision-Support System for Pig Farming by Wang, Hao, Li, Boyang, Zhong, Haoming, Xu, Ahong, Huang, Yingjie, Zou, Jingfu, Chen, Yuanyuan, Wu, Pengcheng, Chen, Yiqiang, Leung, Cyril, Miao, Chunyan

“…There are multiple participants, such as farmers, wholesalers, retailers, financial institutions, etc., involved in the modern food production process. All of…”
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Computerizing Trail Making Test for long-term cognitive self-assessment by Zeng, Zhiwei, Miao, Chunyan, Leung, Cyril, Shen, Zhiqi

“…Purpose This paper aims to adapt and computerize the Trail Making Test (TMT) to support long-term self-assessment of cognitive abilities…”
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Credibility: How Agents Can Handle Unfair Third-Party Testimonies in Computational Trust Models by Jianshu Weng, Zhiqi Shen, Chunyan Miao, Angela Goh, Leung, Cyril

“…Usually, agents within multiagent systems represent different stakeholders that have their own distinct and sometimes conflicting interests and objectives…”
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