We demonstrate the first algorithms for the problem of regression for
ge...
We investigate additive Schwarz methods for semilinear elliptic problems...
We propose a novel training algorithm called DualFL (Dualized Federated
...
In this paper, we propose MPC (Modular Prompted Chatbot), a new approach...
We consider additive Schwarz methods for fourth-order variational
inequa...
In this paper, we propose a novel algorithm called Neuron-wise Parallel
...
We consider additive Schwarz methods for boundary value problems involvi...
This paper presents a novel backtracking strategy for additive Schwarz
m...
Group convolution has been widely used in order to reduce the computatio...
Strain smoothing methods such as the smoothed finite element methods (S-...
We study the fundamental problem of ReLU regression, where the goal is t...
As deep neural networks (DNNs) become deeper, the training time increase...
Based on an observation that additive Schwarz methods for general convex...
In this corrigendum, we offer a correction to [J. Korean. Math. Soc., 54...
Recently, the strain-smoothed element (SSE) method has been developed fo...
In this paper, we propose a novel overlapping domain decomposition metho...
Data corruption, systematic or adversarial, may skew statistical estimat...
This paper gives a unified convergence analysis of additive Schwarz meth...
In this paper, we propose an overlapping additive Schwarz method for tot...
We consider nonoverlapping domain decomposition methods for the
Rudin--O...