Abstract: The importance of Model Parallelism in Distributed Deep Learning continues to grow due to the increase in the Deep Neural Network (DNN) scale and the demand for higher training speed.

Abstract: In case of major imbalances resulting in a lack of active power in the electrical transmission network, the resulting frequency decline may trigger underfrequency load shedding (UFLS), ...