1 citations · 1 across the 4 of their papers we have counts for
12 papers
Data Size-Aware Downlink Massive MIMO: A Session-Based Approach
Tung T. Vu, Hien Quoc Ngo, Minh N. Dao +2
This letter considers the development of transmission strategies for the downlink of massive multiple-input multiple-output networks, with the objective of minimizing the completio…
Graph Augmentation Learning
Shuo Yu, Huafei Huang, Minh N. Dao +1
Graph Augmentation Learning (GAL) provides outstanding solutions for graph learning in handling incomplete data, noise data, etc. Numerous GAL methods have been proposed for graph-…
Energy-Efficient Massive MIMO for Serving Multiple Federated Learning Groups
Tung T. Vu, Hien Quoc Ngo, Duy T. Ngo +2
With its privacy preservation and communication efficiency, federated learning (FL) has emerged as a learning framework that suits beyond 5G and towards 6G systems. This work looks…
An adaptive splitting algorithm for the sum of three operators
Minh N. Dao, Hung M. Phan
Splitting algorithms for finding a zero of sum of operators often involve multiple steps which are referred to as forward or backward steps. Forward steps are the explicit use of t…
Constraint reduction reformulations for projection algorithms with applications to wavelet construction
Minh Dao, Neil Dizon, Jeffrey Hogan +1
We introduce a reformulation technique that converts a many-set feasibility problem into an equivalent two-set problem. This technique involves reformulating the original feasibili…
Conical averagedness and convergence analysis of fixed point algorithms
Sedi Bartz, Minh N. Dao, Hung M. Phan
We study a conical extension of averaged nonexpansive operators and the role it plays in convergence analysis of fixed point algorithms. Various properties of conically averaged op…