Federated learning has attracted increasing attention with the emergence of distributed data. While extensive federated algorithms have been proposed for non-convex problem, in practice still faces numerous challenges, such as large training iterations to converge since sizes models and datasets keep increasing, lack adaptivity by SGD-based model updates. Meanwhile, study adaptive methods is sc...

Abstract Motivated by the computational limitations of simulating interactions particles in highly-granular detectors, there exists a concerted effort to build fast and exact machine-learning-based shower simulators. This work reports progress on two important fronts. First, previously investigated Wasserstein generative adversarial network bounded information bottleneck autoencoder models are ...

This is a qualitative study in which the author use literature review paradigm approach. The goal of this research to discover quickest technique increase reading skills. Several periodicals and articles about how one's abilities are focus study.The findings reveal that, materials activities should be very interesting for students so that they can easily absorb books, must adapted their level c...