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Minh N. Dao
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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
2032020
Parametric robust structured control design
P Apkarian, MN Dao, D Noll
IEEE Transactions on Automatic Control 60 (7), 1857-1869, 2015
2012015
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
98*2022
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
52*2022
Regularizing with Bregman--Moreau envelopes
HH Bauschke, MN Dao, SB Lindstrom
SIAM Journal on Optimization 28 (4), 3208-3228, 2018
502018
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
452020
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
422022
Adaptive Douglas--Rachford splitting algorithm for the sum of two operators
MN Dao, HM Phan
SIAM Journal on Optimization 29 (4), 2697-2724, 2019
412019
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
372018
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
342018
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
312017
Straggler effect mitigation for federated learning in cell-free massive MIMO
TT Vu, DT Ngo, HQ Ngo, MN Dao, NH Tran, RH Middleton
ICC 2021-IEEE International Conference on Communications, 1-6, 2021
302021
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
302016
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
292016
Linear convergence of projection algorithms
MN Dao, HM Phan
Mathematics of Operations Research 44 (2), 715-738, 2019
282019
Linear convergence of the generalized Douglas–Rachford algorithm for feasibility problems
MN Dao, HM Phan
Journal of Global Optimization 72, 443-474, 2018
282018
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
262019
Graph augmentation learning
S Yu, H Huang, MN Dao, F Xia
Companion Proceedings of the Web Conference 2022, 1063-1072, 2022
252022
Conical averagedness and convergence analysis of fixed point algorithms
S Bartz, MN Dao, HM Phan
Journal of Global Optimization 82 (2), 351-373, 2022
252022
The Douglas-Rachford algorithm in the affine-convex case
HH Bauschke, MN Dao, WM Moursi
Operations Research Letters 44 (3), 379-382, 2016
252016
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