Dusit Niyato

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Nanyang Technological University

Ph.D., IEEE Fellow, Professor at School of Computer Science and Engineering (SCSE) and School of Physical and Mathematical Sciences (SPMS) at Nanyang Technological University

Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges

Mobile edge computing (MEC) has been envisioned as a promising paradigm ...
04/05/2021 ∙ by Dinh C Nguyen, et al. ∙ 0 ∙ share

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Symbiotic Communications: Where Marconi Meets Darwin

With the proliferation of wireless applications, the electromagnetic (EM...
03/30/2021 ∙ by Ying-Chang Liang, et al. ∙ 0 ∙ share

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Dynamic Network Service Selection in Intelligent Reflecting Surface-Enabled Wireless Systems: Game Theory Approaches

In this paper, we address dynamic network selection problems of mobile u...
03/11/2021 ∙ by Nguyen Thi Thanh Van, et al. ∙ 0 ∙ share

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Digital-Twin-Enabled 6G: Vision, Architectural Trends, and Future Directions

Internet of Everything (IoE) applications such as haptics, human-compute...
02/24/2021 ∙ by Latif U. Khan, et al. ∙ 0 ∙ share

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A Game-theoretic Approach Towards Collaborative Coded Computation Offloading

Coded distributed computing (CDC) has emerged as a promising approach be...
02/17/2021 ∙ by Jer Shyuan Ng, et al. ∙ 0 ∙ share

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Transfer Learning for Future Wireless Networks: A Comprehensive Survey

With outstanding features, Machine Learning (ML) has been the backbone o...
02/15/2021 ∙ by Cong T. Nguyen, et al. ∙ 16 ∙ share

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Learning Rate Optimization for Federated Learning Exploiting Over-the-air Computation

Federated learning (FL) as a promising edge-learning framework can effec...
02/05/2021 ∙ by Chunmei Xu, et al. ∙ 0 ∙ share

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A Stackelberg Game Approach to Resource Allocation for IRS-aided Communications

It is known that the capacity of the intelligent reflecting surface (IRS...
12/16/2020 ∙ by Yulan Gao, et al. ∙ 0 ∙ share

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Collaborative Coded Computation Offloading: An All-pay Auction Approach

As the amount of data collected for crowdsensing applications increases ...
12/09/2020 ∙ by Jer Shyuan Ng, et al. ∙ 0 ∙ share

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Towards Communication-efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things

Federated Edge Learning (FEL) allows edge nodes to train a global deep l...
12/08/2020 ∙ by YI LIU, et al. ∙ 9 ∙ share

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Intelligent Reflecting Surface-Assisted Bistatic Backscatter Networks: Joint Beamforming and Reflection Design

The passive communication of backscatter devices is a major limiting fac...
10/18/2020 ∙ by Xiaolun Jia, et al. ∙ 0 ∙ share

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Optimization-driven Machine Learning for Intelligent Reflecting Surfaces Assisted Wireless Networks

Intelligent reflecting surface (IRS) has been recently employed to resha...
08/29/2020 ∙ by Shimin Gong, et al. ∙ 0 ∙ share

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A Survey of Coded Distributed Computing

Distributed computing has become a common approach for large-scale compu...
08/20/2020 ∙ by Jer Shyuan Ng, et al. ∙ 0 ∙ share

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Toward Smart Security Enhancement of Federated Learning Networks

As traditional centralized learning networks (CLNs) are facing increasin...
08/19/2020 ∙ by Junjie Tan, et al. ∙ 0 ∙ share

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Scalable and Communication-efficient Decentralized Federated Edge Learning with Multi-blockchain Framework

The emerging Federated Edge Learning (FEL) technique has drawn considera...
08/10/2020 ∙ by Jiawen Kang, et al. ∙ 0 ∙ share

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Dynamic Network Service Selection in IRS-Assisted Wireless Networks: A Game Theory Approach

In this letter, we investigate the dynamic network service provider (SP)...
08/03/2020 ∙ by Nguyen Cong Luong, et al. ∙ 0 ∙ share

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Radio Resource Management in Joint Radar and Communication: A Comprehensive Survey

Joint radar and communication (JRC) has recently attracted substantial a...
07/26/2020 ∙ by Nguyen Cong Luong, et al. ∙ 0 ∙ share

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Joint Auction-Coalition Formation Framework for Communication-Efficient Federated Learning in UAV-Enabled Internet of Vehicles

Due to the advanced capabilities of the Internet of Vehicles (IoV) compo...
07/13/2020 ∙ by Jer Shyuan Ng, et al. ∙ 0 ∙ share

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Blockchain for the Internet of Vehicles towards Intelligent Transportation Systems: A Survey

Internet of Vehicles (IoV) is an emerging concept that is believed to he...
07/12/2020 ∙ by Muhammad Baqer Mollah, et al. ∙ 0 ∙ share

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iRDRC: An Intelligent Real-time Dual-functional Radar-Communication System for Automotive Vehicles

This letter introduces an intelligent Real-time Dual-functional Radar-Co...
07/11/2020 ∙ by Nguyen Quang Hieu, et al. ∙ 0 ∙ share

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Predictive Maintenance for Edge-Based Sensor Networks: A Deep Reinforcement Learning Approach

Failure of mission-critical equipment interrupts production and results ...
07/07/2020 ∙ by Kevin Shen Hoong Ong, et al. ∙ 0 ∙ share

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Cognitive Radio Network Throughput Maximization with Deep Reinforcement Learning

Radio Frequency powered Cognitive Radio Networks (RF-CRN) are likely to ...
07/07/2020 ∙ by Kevin Shen Hoong Ong, et al. ∙ 0 ∙ share

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Federated Learning for 6G Communications: Challenges, Methods, and Future Directions

As the 5G communication networks are being widely deployed worldwide, bo...
06/04/2020 ∙ by YI LIU, et al. ∙ 0 ∙ share

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Incentive Mechanism Design for Resource Sharing in Collaborative Edge Learning

In 5G and Beyond networks, Artificial Intelligence applications are expe...
05/31/2020 ∙ by Wei Yang Bryan Lim, et al. ∙ 0 ∙ share

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Two-Hop Connectivity to the Roadside in a VANET Under the Random Connection Model

We compute the expected number of cars that have at least one two-hop pa...
05/29/2020 ∙ by Alexander P. Kartun-Giles, et al. ∙ 0 ∙ share

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Optimization-driven Deep Reinforcement Learning for Robust Beamforming in IRS-assisted Wireless Communications

Intelligent reflecting surface (IRS) is a promising technology to assist...
05/25/2020 ∙ by Jiaye Lin, et al. ∙ 0 ∙ share

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A Bandit Approach for Mode Selection in Ambient Backscatter-Assisted Wireless-Powered Relaying

Backscattering assisted wireless-powered communication combines ultralow...
05/13/2020 ∙ by Guangxia Li, et al. ∙ 0 ∙ share

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A Secure Federated Learning Framework for 5G Networks

Federated Learning (FL) has been recently proposed as an emerging paradi...
05/12/2020 ∙ by YI LIU, et al. ∙ 0 ∙ share

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Demand-Side Scheduling Based on Deep Actor-Critic Learning for Smart Grids

We consider the problem of demand-side energy management, where each hou...
05/05/2020 ∙ by Joash Lee, et al. ∙ 0 ∙ share

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Intelligent Reflecting Surface-Aided Backscatter Communications

We introduce a novel system setup where a backscatter device operates in...
04/20/2020 ∙ by Xiaolun Jia, et al. ∙ 0 ∙ share

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Local Differential Privacy based Federated Learning for Internet of Things

Internet of Vehicles (IoV) is a promising branch of the Internet of Thin...
04/19/2020 ∙ by fcq, et al. ∙ 0 ∙ share

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Resource Management for Blockchain-enabled Federated Learning: A Deep Reinforcement Learning Approach

Blockchain-enabled Federated Learning (BFL) enables model updates of Fed...
04/08/2020 ∙ by Nguyen Quang Hieu, et al. ∙ 0 ∙ share

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Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach

Coupled with the rise of Deep Learning, the wealth of data and enhanced ...
04/08/2020 ∙ by Wei Yang Bryan Lim, et al. ∙ 0 ∙ share

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On Coordination of Smart Grid and Cooperative Cloud Providers

Cooperative cloud providers in the form of cloud federations can potenti...
03/30/2020 ∙ by Monireh Mohebbi Moghaddam, et al. ∙ 0 ∙ share

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Decentralized Learning for Channel Allocation in IoT Networks over Unlicensed Bandwidth as a Contextual Multi-player Multi-armed Bandit Game

We study a decentralized channel allocation problem in an ad-hoc Interne...
03/30/2020 ∙ by Wenbo Wang, et al. ∙ 0 ∙ share

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Mechanism Design for Wireless Powered Spatial Crowdsourcing Networks

Wireless power transfer (WPT) is a promising technology to prolong the l...
03/27/2020 ∙ by Yutao Jiao, et al. ∙ 0 ∙ share

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Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach

Existing traffic flow forecasting approaches by deep learning models ach...
03/19/2020 ∙ by YI LIU, et al. ∙ 0 ∙ share

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A Generative Learning Approach for Spatio-temporal Modeling in Connected Vehicular Network

Spatio-temporal modeling of wireless access latency is of great importan...
03/16/2020 ∙ by Rong Xia, et al. ∙ 0 ∙ share

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Optimal Pricing of Internet of Things: A Machine Learning Approach

Internet of things (IoT) produces massive data from devices embedded wit...
02/14/2020 ∙ by Mohammad Abu Alsheikh, et al. ∙ 0 ∙ share

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A Retrodirective Wireless Power Transfer Scheme for Ambient Backscatter Systems

One of the key challenges of the Internet of Things (IoT) is to sustaina...
02/13/2020 ∙ by Sahar Idrees, et al. ∙ 0 ∙ share

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Shipper Cooperation in Stochastic Drone Delivery: A Dynamic Bayesian Game Approach

With the recent technological innovation, unmanned aerial vehicles, know...
02/08/2020 ∙ by Suttinee Sawadsitang, et al. ∙ 0 ∙ share

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Reflection Resource Management for Intelligent Reflecting Surface Aided Wireless Networks

In this paper, the adoption of an intelligent reflecting surface (IRS) f...
02/02/2020 ∙ by Yulan Gao, et al. ∙ 0 ∙ share

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Reconfigurable Intelligent Surface for MISO Systems with Proportional Rate Constraints

This paper investigates the system spectral efficiency (SE) in reconfigu...
01/29/2020 ∙ by Yulan Gao, et al. ∙ 0 ∙ share

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Deep Reinforcement Learning for Backscatter-Aided Data Offloading in Mobile Edge Computing

Wireless network optimization has been becoming very challenging as the ...
01/28/2020 ∙ by Shimin Gong, et al. ∙ 0 ∙ share

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Capitalizing Backscatter-Aided Hybrid Relay Communications with Wireless Energy Harvesting

In this work, we employ multiple energy harvesting relays to assist info...
01/28/2020 ∙ by Shimin Gong, et al. ∙ 0 ∙ share

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Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning

Deep Reinforcement Learning (DRL) has numerous applications in the real ...
01/27/2020 ∙ by Inaam Ilahi, et al. ∙ 23 ∙ share

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A Blockchain-Based Approach for Saving and Tracking Differential-Privacy Cost

An increasing amount of users' sensitive information is now being collec...
01/25/2020 ∙ by fcq, et al. ∙ 0 ∙ share

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Joint Time Scheduling and Transaction Fee Selection in Blockchain-based RF-Powered Backscatter Cognitive Radio Network

In this paper, we develop a new framework called blockchain-based Radio ...
01/10/2020 ∙ by Tran The Anh, et al. ∙ 0 ∙ share

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IRS-based Wireless Jamming Attacks: When Jammers can Attack without Power

This paper introduces a new type of wireless jamming attack, called IRS ...
01/07/2020 ∙ by Bin Lyu, et al. ∙ 0 ∙ share

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Spectrum Intelligent Radio: Technology, Development, and Future Trends

The advent of Industry 4.0 with massive connectivity places significant ...
01/01/2020 ∙ by Peng Cheng, et al. ∙ 0 ∙ share

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