Abstract: Federated Learning (FL) has emerged as a powerful methodology for training centralized models while preserving data privacy by using trained parameters from local models that are distributed ...

This workbook is intended for advanced undergraduate or beginning graduate students as a supplement to a traditional course in numerical mathematics and as preparation for independent research ...

optimagic is a Python package for numerical optimization. It is a unified interface to optimizers from SciPy, NlOpt and other packages. optimagic's minimize function works just like SciPy's, so you ...

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential ...

Introduction: Metacognitive strategy training interventions, like Problem-Solving Training/Descubriendo Soluciones Juntos (PST/DSJ), have efficacy for improving caregiver burden and depressive ...

Accordingly, the current study was initiated from these questions. Students were asked to solve two types of physics problem, i.e. problems in an everyday context and de-contextualized problems, then ...

Chemical Engineering is concerned with the design and operation of processes which convert materials and energy into the higher value products we use every day. It understands the processes which ...