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FedU: A Unified Framework for Federated Multi-Task Learning with Laplacian Regularization


Feb 14, 2021
Canh T. Dinh, Tung T. Vu, Nguyen H. Tran, Minh N. Dao, Hongyu Zhang


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DONE: Distributed Approximate Newton-type Method for Federated Edge Learning


Jan 17, 2021
Canh T. Dinh, Nguyen H. Tran, Tuan Dung Nguyen, Wei Bao, Amir Rezaei Balef


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DONE: Distributed Newton-type Method for Federated Edge Learning


Dec 10, 2020
Canh T. Dinh, Nguyen H. Tran, Tuan Dung Nguyen, Wei Bao, Amir Rezaei Balef


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Edge-assisted Democratized Learning Towards Federated Analytics


Dec 01, 2020
Shashi Raj Pandey, Minh N. H. Nguyen, Tri Nguyen Dang, Nguyen H. Tran, Kyi Thar, Zhu Han, Choong Seon Hong

* Submitted to IEEE for possible publication 

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Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks


Nov 25, 2020
Minh N. H. Nguyen, Nguyen H. Tran, Yan Kyaw Tun, Zhu Han, Choong Seon Hong


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An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach


Sep 22, 2020
Tra Huong Thi Le, Nguyen H. Tran, Yan Kyaw Tun, Minh N. H. Nguyen, Shashi Raj Pandey, Zhu Han, Choong Seon Hong

* Paper-TW-Apr-20-0557(2020) 

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Federated Learning with Nesterov Accelerated Gradient Momentum Method


Sep 18, 2020
Zhengjie Yang, Wei Bao, Dong Yuan, Nguyen H. Tran, Albert Y. Zomaya

* 15 pages, 5 figures 

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Self-organizing Democratized Learning: Towards Large-scale Distributed Learning Systems


Jul 07, 2020
Minh N. H. Nguyen, Shashi Raj Pandey, Tri Nguyen Dang, Eui-Nam Huh, Choong Seon Hong, Nguyen H. Tran, Walid Saad


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Personalized Federated Learning with Moreau Envelopes


Jun 16, 2020
Canh T. Dinh, Nguyen H. Tran, Tuan Dung Nguyen


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Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems


Apr 28, 2020
Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Salma Abdalla Hamad, Munazza Zaib, Nguyen H. Tran, Lina Yao, Nguyen Lu Dang Khoa

* 7 pages, 3 figures, 1 table 

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Distributed and Democratized Learning: Philosophy and Research Challenges


Mar 18, 2020
Minh N. H. Nguyen, Shashi Raj Pandey, Kyi Thar, Nguyen H. Tran, Mingzhe Chen, Walid Saad, Choong Seon Hong


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Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach


Feb 21, 2020
Sarder Fakhrul Abedin, Md. Shirajum Munir, Nguyen H. Tran, Zhu Han, Choong Seon Hong

* Submitted to IEEE Transactions on Intelligent Transportation Systems, Special Issue on Unmanned Aircraft System Traffic Management 

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Risk-Aware Energy Scheduling for Edge Computing with Microgrid: A Multi-Agent Deep Reinforcement Learning Approach


Feb 21, 2020
Md. Shirajum Munir, Sarder Fakhrul Abedin, Nguyen H. Tran, Zhu Han, Eui Nam Huh, Choong Seon Hong

* Submitted to IEEE Internet of Things Journal 

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Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems


Feb 20, 2020
Md. Shirajum Munir, Nguyen H. Tran, Walid Saad, Choong Seon Hong

* Submitted to IEEE Transactions on Network and Service Management 

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A Crowdsourcing Framework for On-Device Federated Learning


Nov 04, 2019
Shashi Raj Pandey, Nguyen H. Tran, Mehdi Bennis, Yan Kyaw Tun, Aunas Manzoor, Choong Seon Hong


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Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation


Nov 01, 2019
Canh Dinh, Nguyen H. Tran, Minh N. H. Nguyen, Choong Seon Hong, Wei Bao, Albert Y. Zomaya, Vincent Gramoli


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Deep Autoencoder for Recommender Systems: Parameter Influence Analysis


Dec 25, 2018
Dai Hoang Tran, Zawar Hussain, Wei Emma Zhang, Nguyen Lu Dang Khoa, Nguyen H. Tran, Quan Z. Sheng

* 11 pages, ACIS 2018, 

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