Compressive sensing (CS) has drawn quite an amount of attention as a joint sampling and compression approach. Its theory shows that when the signal is sparse enough in some …
Y Sun, H Chen, J Tao, L Lei - Digital Signal Processing, 2019 - Elsevier
In this paper, we propose an iterative algorithm for the computed tomography (CT) image reconstruction from severely under-sampled data. Instead of using ℓ 1-norm sparse …
C Wang, Q Guo, H Wang, Z Cui… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
To solve the underdetermined problem and the mismatches of position and size of the objects caused by the ill-posed sensitivity matrix in electrical capacitance tomography (ECT) …
H Zhang, L Wang, B Yan, L Li, A Cai, G Hu - PLoS One, 2016 - journals.plos.org
Total generalized variation (TGV)-based computed tomography (CT) image reconstruction, which utilizes high-order image derivatives, is superior to total variation-based methods in …
F Jiang, Z Wu - Journal of Computational and Applied Mathematics, 2023 - Elsevier
Compared with the alternating direction method of multipliers (ADMM), the symmetric ADMM, which updates the Lagrange multiplier twice in each iteration, is a more efficient …
Many signal processing and machine learning problems can be formulated as consensus optimization problems which can be solved efficiently via a cooperative multi-agent system …
J Li, W Li, R Huang - Computational optimization and Applications, 2016 - Springer
In this paper, we consider solving a class of matrix inequality constrained matrix least squares problems of the form min & 1 2 ‖ ∑\limits _ i= 1^ t A_iXB_i-C ‖^ 2\subject\text to & …
M Sun, J Liu - Journal of Applied Mathematics and Computing, 2016 - Springer
Recently, He et al. proposed a modified Peaceman–Rachford splitting method (MPRSM) for separable convex programming, which includes compressive sensing (CS) as a special …
In this paper, we consider the problem of federated (or decentralized) learning using ADMM with multiple agents. We consider a scenario where a certain fraction of agents (referred to …