Parallel Direct Asynchronous Stochastic Quasi-Newton (DASQN) Scheme for Multi-core Architecture
Classic first-order optimization methods, such as gradient descent (GD), have significant limitations: generally linear convergence, sensitivity to the choice of learning rate, and significant oscillations around the minimum, which are particularly pronounced in ill-conditioned problems. To overcome these limitations,...