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


Aug 29, 2020
Shimin Gong, Jiaye Lin, Jinbei Zhang, Dusit Niyato, Dong In Kim, Mohsen Guizani

* submitted to IEEE Communications Magazine 

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


May 01, 2020
Nguyen Quang Hieu, Tran The Anh, Nguyen Cong Luong, Dusit Niyato, Dong In Kim, Erik Elmroth


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Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach


May 16, 2019
Jiawen Kang, Zehui Xiong, Dusit Niyato, Han Yu, Ying-Chang Liang, Dong In Kim

* submitted to the conference for potential publication 

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Applications of Deep Reinforcement Learning in Communications and Networking: A Survey


Oct 18, 2018
Nguyen Cong Luong, Dinh Thai Hoang, Shimin Gong, Dusit Niyato, Ping Wang, Ying-Chang Liang, Dong In Kim

* 37 pages, 13 figures, 6 tables, 174 reference papers 

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Deep Reinforcement Learning for Time Scheduling in RF-Powered Backscatter Cognitive Radio Networks


Oct 03, 2018
Tran The Anh, Nguyen Cong Luong, Dusit Niyato, Ying-Chang Liang, Dong In Kim


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