Stochastic gradient descent method and its variants constitute the core optimization algorithms that achieve good …

time complexity. To address this, a novel method known as the Chinese Whisper Clustered Stochastic Gradient Descent … reduces time complexity in financial distress prediction. Stochastic Gradient Gaussian Kernel Federated Learning approach is … employed to preserve privacy while predicting distress, aided by kriging regression for model analysis. Stochastic gradient …

In this contribution, we present a numerical analysis of the continuous stochastic gradient (CSG) method, including … applications from topology optimization and convergence rates. In contrast to standard stochastic gradient optimization schemes …

In this contribution, we present a full overview of the continuous stochastic gradient (CSG) method, including … optimization schemes have become increasingly popular in such contexts. However, known stochastic gradient type methods are …

factorization algorithm using the stochastic gradient descent method and the book-based k -nearest-neighbor algorithm. We perform a …

In this contribution, we present a full overview of the continuous stochastic gradient (CSG) method, including … optimization schemes have become increasingly popular in such contexts. However, known stochastic gradient type methods are …

In this contribution, we present a numerical analysis of the continuous stochastic gradient (CSG) method, including … applications from topology optimization and convergence rates. In contrast to standard stochastic gradient optimization schemes …

factorization algorithm using the stochastic gradient descent method and the book-based k -nearest-neighbor algorithm. We perform a …