Minh N. Dao

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 41

Top Topics

Convergence Analysis

Data Compression

Optimization Problems

Top Venues

J. Glob. Optim.

J. Optim. Theory Appl.

Publications

Canh T. Dinh, Tung Thanh Vu, Nguyen Hoang Tran, Minh N. Dao, Hongyu Zhang
A New Look and Convergence Rate of Federated Multitask Learning With Laplacian Regularization. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Chongzheng Hao, Tung Thanh Vu, Hien Quoc Ngo, Minh N. Dao, Xiaoyu Dang, Chenghua Wang, Michail Matthaiou
Joint User Association and Power Control for Cell-Free Massive MIMO. IEEE Internet Things J. 11 (9) (2024)
Chongzheng Hao, Tung Thanh Vu, Hien Quoc Ngo, Minh N. Dao, Xiaoyu Dang, Chenghua Wang, Michail Matthaiou
Joint User Association and Power Control for Cell-Free Massive MIMO. CoRR (2024)
Minh N. Dao, Hassan Saoud, Michel A. Théra
Locating Theorems of Differential Inclusions Governed by Maximally Monotone Operators. SIAM J. Optim. 33 (4) (2023)
Tung Thanh Vu, Hien Quoc Ngo, Minh N. Dao, Erik G. Larsson
Multipair DF Relaying with Network-Assisted Full-Duplex Cell-Free Massive MIMO. EUSIPCO (2023)
Tan Nhat Pham, Minh N. Dao, Rakibuzzaman Shah, Nargiz Sultanova, Guoyin Li, Syed Mofizul Islam
A proximal subgradient algorithm with extrapolation for structured nonconvex nonsmooth problems. Numer. Algorithms 94 (4) (2023)
Radu Ioan Bot, Minh N. Dao, Guoyin Li
Inertial Proximal Block Coordinate Method for a Class of Nonsmooth Sum-of-Ratios Optimization Problems. SIAM J. Optim. 33 (2) (2023)
Chongzheng Hao, Tung Thanh Vu, Hien Quoc Ngo, Minh N. Dao, Xiaoyu Dang, Michail Matthaiou
User Association and Power Control in Cell-Free Massive MIMO with the APG Method. EUSIPCO (2023)
Tung Thanh Vu, Hien Quoc Ngo, Minh N. Dao, Michail Matthaiou, Erik G. Larsson
Data Size-Aware Downlink Massive MIMO: A Session-Based Approach. IEEE Wirel. Commun. Lett. 11 (7) (2022)
Radu Ioan Bot, Minh N. Dao, Guoyin Li
Extrapolated Proximal Subgradient Algorithms for Nonconvex and Nonsmooth Fractional Programs. Math. Oper. Res. 47 (3) (2022)
Tung Thanh Vu, Hien Quoc Ngo, Minh N. Dao, Michail Matthaiou, Erik G. Larsson
Data Size-Aware Downlink Massive MIMO: A Session-Based Approach. CoRR (2022)
Shuo Yu, Huafei Huang, Minh N. Dao, Feng Xia
Graph Augmentation Learning. WWW (Companion Volume) (2022)
Bach Long Nguyen, Duy Trong Ngo, Minh N. Dao, Vo Nguyen Quoc Bao, Hai L. Vu
Scheduling and Power Control for Connectivity Enhancement in Multi-Hop I2V/V2V Networks. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Sedi Bartz, Minh N. Dao, Hung M. Phan
Conical averagedness and convergence analysis of fixed point algorithms. J. Glob. Optim. 82 (2) (2022)
Bach Long Nguyen, Duy Trong Ngo, Nguyen H. Tran, Minh N. Dao, Hai L. Vu
Dynamic V2I/V2V Cooperative Scheme for Connectivity and Throughput Enhancement. IEEE Trans. Intell. Transp. Syst. 23 (2) (2022)
Shuo Yu, Huafei Huang, Minh N. Dao, Feng Xia
Graph Augmentation Learning. CoRR (2022)
Tung Thanh Vu, Hien Quoc Ngo, Minh N. Dao, Duy Trong Ngo, Erik G. Larsson, Tho Le-Ngoc
Energy-Efficient Massive MIMO for Federated Learning: Transmission Designs and Resource Allocations. IEEE Open J. Commun. Soc. 3 (2022)
Regina Sandra Burachik, Minh N. Dao, Scott B. Lindstrom
The Generalized Bregman Distance. SIAM J. Optim. 31 (1) (2021)
Canh T. Dinh, Tung Thanh Vu, Nguyen H. Tran, Minh N. Dao, Hongyu Zhang
FedU: A Unified Framework for Federated Multi-Task Learning with Laplacian Regularization. CoRR (2021)
Minh N. Dao, Neil D. Dizon, Jeffrey A. Hogan, Matthew K. Tam
Constraint Reduction Reformulations for Projection Algorithms with Applications to Wavelet Construction. J. Optim. Theory Appl. 190 (1) (2021)
Tung Thanh Vu, Hien Quoc Ngo, Duy T. Ngo, Minh N. Dao, Erik G. Larsson
Energy-Efficient Massive MIMO for Serving Multiple Federated Learning Groups. CoRR (2021)
Regina Sandra Burachik, Minh N. Dao, Scott B. Lindstrom
Generalized Bregman Envelopes and Proximity Operators. J. Optim. Theory Appl. 190 (3) (2021)
Tung Thanh Vu, Hien Quoc Ngo, Minh N. Dao, Duy T. Ngo, Erik G. Larsson, Tho Le-Ngoc
Energy-Efficient Massive MIMO for Federated Learning: Transmission Designs and Resource Allocations. CoRR (2021)
Tung Thanh Vu, Duy T. Ngo, Hien Quoc Ngo, Minh N. Dao, Nguyen H. Tran, Richard H. Middleton
Straggler Effect Mitigation for Federated Learning in Cell-Free Massive MIMO. ICC (2021)
Tung Thanh Vu, Hien Quoc Ngo, Duy T. Ngo, Minh N. Dao, Erik G. Larsson
Energy-Efficient Massive MIMO for Serving Multiple Federated Learning Groups. GLOBECOM (2021)
Tung Thanh Vu, Duy T. Ngo, Hien Quoc Ngo, Minh N. Dao, Nguyen H. Tran, Richard H. Middleton
User Selection Approaches to Mitigate the Straggler Effect for Federated Learning on Cell-Free Massive MIMO Networks. CoRR (2020)
Minh N. Dao, Hung M. Phan
Computing the resolvent of the sum of operators with application to best approximation problems. Optim. Lett. 14 (5) (2020)
Bach Long Nguyen, Duy Trong Ngo, Minh N. Dao, Quang Thang Duong, Minoru Okada
A Joint Scheduling and Power Control Scheme for Hybrid I2V/V2V Networks. IEEE Trans. Veh. Technol. 69 (12) (2020)
Tung Thanh Vu, Duy Trong Ngo, Minh N. Dao, Quang Thang Duong, Minoru Okada, Hung Nguyen-Le, Richard H. Middleton
Energy-Efficient Full-Duplex Enabled Cloud Radio Access Networks. IEICE Trans. Commun. (1) (2020)
Minh N. Dao, Matthew K. Tam
A Lyapunov-type approach to convergence of the Douglas-Rachford algorithm for a nonconvex setting. J. Glob. Optim. 73 (1) (2019)
Tung Thanh Vu, Duy T. Ngo, Nguyen H. Tran, Hien Quoc Ngo, Minh N. Dao, Richard H. Middleton
Cell-Free Massive MIMO for Wireless Federated Learning. CoRR (2019)
Minh N. Dao, Matthew K. Tam
Union Averaged Operators with Applications to Proximal Algorithms for Min-Convex Functions. J. Optim. Theory Appl. 181 (1) (2019)
Heinz H. Bauschke, Minh N. Dao, Scott B. Lindstrom
The Douglas-Rachford algorithm for a hyperplane and a doubleton. J. Glob. Optim. 74 (1) (2019)
Minh N. Dao, Hung M. Phan
Adaptive Douglas-Rachford Splitting Algorithm for the Sum of Two Operators. SIAM J. Optim. 29 (4) (2019)
Minh N. Dao, Hung M. Phan
Linear Convergence of Projection Algorithms. Math. Oper. Res. 44 (2) (2019)
Tung Thanh Vu, Duy Trong Ngo, Minh N. Dao, Salman Durrani, Duy H. N. Nguyen, Richard H. Middleton
Energy Efficiency Maximization for Downlink Cloud Radio Access Networks With Data Sharing and Data Compression. IEEE Trans. Wirel. Commun. 17 (8) (2018)
Heinz H. Bauschke, Minh N. Dao, Scott B. Lindstrom
Regularizing with Bregman-Moreau Envelopes. SIAM J. Optim. 28 (4) (2018)
Tung Thanh Vu, Duy T. Ngo, Minh N. Dao, Salman Durrani, Duy H. N. Nguyen, Richard H. Middleton
Energy-Efficient Design for Downlink Cloud Radio Access Networks. ICC (2018)
Minh N. Dao, Hung M. Phan
Linear convergence of the generalized Douglas-Rachford algorithm for feasibility problems. J. Glob. Optim. 72 (3) (2018)
Heinz H. Bauschke, Minh N. Dao
On the Finite Convergence of the Douglas-Rachford Algorithm for Solving (Not Necessarily Convex) Feasibility Problems in Euclidean Spaces. SIAM J. Optim. 27 (1) (2017)
Heinz H. Bauschke, Minh N. Dao, Walaa M. Moursi
The Douglas-Rachford algorithm in the affine-convex case. Oper. Res. Lett. 44 (3) (2016)