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Minh N. Dao
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Cited by
Year
Parametric robust structured control design
P Apkarian, MN Dao, D Noll
IEEE Transactions on Automatic Control 60 (7), 1857-1869, 2015
1882015
Cell-free massive MIMO for wireless federated learning
TT Vu, DT Ngo, NH Tran, HQ Ngo, MN Dao, RH Middleton
IEEE Transactions on Wireless Communications 19 (10), 6377-6392, 2020
1662020
A new look and convergence rate of federated multitask learning with laplacian regularization
CT Dinh, TT Vu, NH Tran, MN Dao, H Zhang
IEEE Transactions on Neural Networks and Learning Systems, 2022
77*2022
Regularizing with Bregman--Moreau envelopes
HH Bauschke, MN Dao, SB Lindstrom
SIAM Journal on Optimization 28 (4), 3208-3228, 2018
472018
Dynamic V2I/V2V cooperative scheme for connectivity and throughput enhancement
BL Nguyen, DT Ngo, NH Tran, MN Dao, HL Vu
IEEE Transactions on Intelligent Transportation Systems 23 (2), 1236-1246, 2020
372020
Spectral and energy efficiency maximization for content-centric C-RANs with edge caching
TT Vu, DT Ngo, MN Dao, S Durrani, RH Middleton
IEEE Transactions on Communications 66 (12), 6628-6642, 2018
352018
Adaptive Douglas--Rachford splitting algorithm for the sum of two operators
MN Dao, HM Phan
SIAM Journal on Optimization 29 (4), 2697-2724, 2019
342019
Energy efficiency maximization for downlink cloud radio access networks with data sharing and data compression
TT Vu, DT Ngo, MN Dao, S Durrani, DHN Nguyen, RH Middleton
IEEE Transactions on Wireless Communications 17 (8), 4955-4970, 2018
332018
Extrapolated proximal subgradient algorithms for nonconvex and nonsmooth fractional programs
RI Boţ, MN Dao, G Li
Mathematics of Operations Research 47 (3), 2415-2443, 2022
302022
On the finite convergence of the Douglas--Rachford algorithm for solving (not necessarily convex) feasibility problems in Euclidean spaces
HH Bauschke, MN Dao
SIAM Journal on Optimization 27 (1), 507-537, 2017
292017
On Slater’s condition and finite convergence of the Douglas–Rachford algorithm for solving convex feasibility problems in Euclidean spaces
HH Bauschke, MN Dao, D Noll, HM Phan
Journal of Global Optimization 65, 329-349, 2016
292016
Joint resource allocation to minimize execution time of federated learning in cell-free massive MIMO
TT Vu, DT Ngo, HQ Ngo, MN Dao, NH Tran, RH Middleton
IEEE Internet of Things Journal 9 (21), 21736-21750, 2022
282022
Nonconvex bundle method with application to a delamination problem
MN Dao, J Gwinner, D Noll, N Ovcharova
Computational Optimization and Applications 65 (1), 173-203, 2016
282016
Linear convergence of projection algorithms
MN Dao, HM Phan
Mathematics of Operations Research 44 (2), 715-738, 2019
272019
Linear convergence of the generalized Douglas–Rachford algorithm for feasibility problems
MN Dao, HM Phan
Journal of Global Optimization 72, 443-474, 2018
272018
A Lyapunov-type approach to convergence of the Douglas–Rachford algorithm for a nonconvex setting
MN Dao, MK Tam
Journal of Global Optimization 73 (1), 83-112, 2019
252019
The Douglas-Rachford algorithm in the affine-convex case
HH Bauschke, MN Dao, WM Moursi
Operations Research Letters 44 (3), 379-382, 2016
252016
Proximal point algorithm, Douglas-Rachford algorithm and alternating projections: a case study
HH Bauschke, MN Dao, D Noll, HM Phan
Journal of Convex Analysis 23 (1), 237-261, 2016
232016
Conical averagedness and convergence analysis of fixed point algorithms
S Bartz, MN Dao, HM Phan
Journal of Global Optimization 82 (2), 351-373, 2022
222022
Bundle method for nonconvex nonsmooth constrained optimization
MN Dao
Journal of Convex Analysis 22 (4), 1061-1090, 2015
202015
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