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A New Look and Convergence Rate of Federated Multitask Learning With Laplacian Regularization
- Dinh, Canh T., Vu, Tung T., Tran, Nguyen H., Dao, Minh N., Zhang, Hongyu
Dynamic V2I/V2V Cooperative Scheme for Connectivity and Throughput Enhancement
- Nguyen, Bach Long, Ngo, Duy Trong, Tran, Nguyen H., Dao, Minh N., Vu, Hai L.
Energy-Efficient Massive MIMO for Federated Learning: Transmission Designs and Resource Allocations
- Vu, Tung Thanh, Ngo, Hien Quoc, Dao, Minh N., Ngo, Duy Trong, Larsson, Erik G., Le-Ngoc, Tho
Scheduling and Power Control for Connectivity Enhancement in Multi-Hop I2V/V2V Networks
- Nguyen, Bach Long, Ngo, Duy Trong, Dao, Minh N., Bao, Vo Nguyen Quoc, Vu, Hai L.
Constraint Reduction Reformulations for Projection Algorithms with Applications to Wavelet Construction
- Dao, Minh N., Dizon, Neil D., Hogan, Jeffrey A., Tam, Matthew K.
Energy-Efficient Massive MIMO for Serving Multiple Federated Learning Groups
- Vu, Tung T., Ngo, Hien Quoc, Ngo, Duy T., Dao, Minh N., Larsson, Erik G.
Straggler Effect Mitigation for Federated Learning in Cell-Free Massive MIMO
- Vu, Tung T., Ngo, Duy T., Ngo, Hien Quoc, Dao, Minh N., Tran, Nguyen H., Middleton, Richard H.
A Joint Scheduling and Power Control Scheme for Hybrid I2V/V2V Networks
- Nguyen, Bach Long, Ngo, Duy Trong, Dao, Minh N., Duong, Quang-Thang, Okada, Minoru
Energy-efficient full-duplex enabled cloud radio access networks
- Vu, Tung Thanh, Ngo, Duy Trong, Dao, Minh N., Duong, Quang-Thang, Okada, Minoru, Nguyen-Le, Hung, Middleton, Richard H.
A Lyapunov-type approach to convergence of the Douglas-Rachford algorithm for a nonconvex setting
- Dao, Minh N., Tam, Matthew K.
Adaptive Douglas-Rachford splitting algorithm for the sum of two operators
- Dao, Minh N., Phan, Hung M.
Computing the resolvent of the sum of operators with application to best approximation problems
Linear convergence of projection algorithms
The Douglas-Rachford algorithm for a hyperplane and a doubleton
- Bauschke, Heinz H., Dao, Minh N., Lindstrom, Scott B.
Union averaged operators with applications to proximal algorithms for min-convex functions
Energy efficiency maximization for downlink cloud radio access networks with data sharing and data compression
- Vu, Tung Thanh, Ngo, Duy Trong, Dao, Minh N., Durrani, Salmon, Nguyen, Duy H. N., Middleton, Richard H.
Energy-efficient design for downlink cloud radio access networks
- Vu, Tung T., Ngo, Duy T., Dao, Minh N., Durrani, Salman, Nguyen, Duy H. N., Middleton, Richard H.
Linear convergence of the generalized Douglas-Rachford algorithm for feasibility problems
Regularizing with Bregman--Moreau envelopes
On Slater’s condition and finite convergence of the Douglas–Rachford algorithm for solving convex feasibility problems in Euclidean spaces
- Bauschke, Heinz H., Dao, Minh N., Noll, Dominikus, Phan, Hung M.
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