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On the Generalization of Wasserstein Robust Federated Learning


Jun 03, 2022
Tung-Anh Nguyen, Tuan Dung Nguyen, Long Tan Le, Canh T. Dinh, Nguyen H. Tran


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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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