Minh N. Dao
Orcid: 0000-0002-8074-6675Affiliations:
- Federation University, Australia
- The University of Newcastle, Australia (former)
According to our database1,
Minh N. Dao
authored at least 46 papers
between 2013 and 2024.
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Bibliography
2024
Bregman Proximal Linearized ADMM for Minimizing Separable Sums Coupled by a Difference of Functions.
J. Optim. Theory Appl., November, 2024
A New Look and Convergence Rate of Federated Multitask Learning With Laplacian Regularization.
IEEE Trans. Neural Networks Learn. Syst., June, 2024
IEEE Internet Things J., May, 2024
2023
Locating Theorems of Differential Inclusions Governed by Maximally Monotone Operators.
SIAM J. Optim., December, 2023
A proximal subgradient algorithm with extrapolation for structured nonconvex nonsmooth problems.
Numer. Algorithms, December, 2023
Inertial Proximal Block Coordinate Method for a Class of Nonsmooth Sum-of-Ratios Optimization Problems.
SIAM J. Optim., 2023
Proceedings of the 31st European Signal Processing Conference, 2023
Proceedings of the 31st European Signal Processing Conference, 2023
2022
IEEE Wirel. Commun. Lett., 2022
IEEE Trans. Intell. Transp. Syst., 2022
Scheduling and Power Control for Connectivity Enhancement in Multi-Hop I2V/V2V Networks.
IEEE Trans. Intell. Transp. Syst., 2022
Energy-Efficient Massive MIMO for Federated Learning: Transmission Designs and Resource Allocations.
IEEE Open J. Commun. Soc., 2022
Extrapolated Proximal Subgradient Algorithms for Nonconvex and Nonsmooth Fractional Programs.
Math. Oper. Res., 2022
J. Glob. Optim., 2022
Joint Resource Allocation to Minimize Execution Time of Federated Learning in Cell-Free Massive MIMO.
IEEE Internet Things J., 2022
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
2021
Constraint Reduction Reformulations for Projection Algorithms with Applications to Wavelet Construction.
J. Optim. Theory Appl., 2021
FedU: A Unified Framework for Federated Multi-Task Learning with Laplacian Regularization.
CoRR, 2021
Proceedings of the ICC 2021, 2021
Proceedings of the IEEE Global Communications Conference, 2021
2020
IEEE Trans. Wirel. Commun., 2020
IEEE Trans. Veh. Technol., 2020
Computing the resolvent of the sum of operators with application to best approximation problems.
Optim. Lett., 2020
IEICE Trans. Commun., 2020
User Selection Approaches to Mitigate the Straggler Effect for Federated Learning on Cell-Free Massive MIMO Networks.
CoRR, 2020
2019
SIAM J. Optim., 2019
Union Averaged Operators with Applications to Proximal Algorithms for Min-Convex Functions.
J. Optim. Theory Appl., 2019
A Lyapunov-type approach to convergence of the Douglas-Rachford algorithm for a nonconvex setting.
J. Glob. Optim., 2019
J. Glob. Optim., 2019
2018
Energy Efficiency Maximization for Downlink Cloud Radio Access Networks With Data Sharing and Data Compression.
IEEE Trans. Wirel. Commun., 2018
Spectral and Energy Efficiency Maximization for Content-Centric C-RANs With Edge Caching.
IEEE Trans. Commun., 2018
Linear convergence of the generalized Douglas-Rachford algorithm for feasibility problems.
J. Glob. Optim., 2018
Proceedings of the 2018 IEEE International Conference on Communications, 2018
2017
On the Finite Convergence of the Douglas-Rachford Algorithm for Solving (Not Necessarily Convex) Feasibility Problems in Euclidean Spaces.
SIAM J. Optim., 2017
2016
On Slater's condition and finite convergence of the Douglas-Rachford algorithm for solving convex feasibility problems in Euclidean spaces.
J. Glob. Optim., 2016
Comput. Optim. Appl., 2016
2015
2013
Proceedings of the ICINCO 2013 - Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics, Volume 1, Reykjavík, Iceland, 29, 2013
Proceedings of the 9th Asian Control Conference, 2013