Athletes participating in elite sports are exposed to high training loads and increasingly saturated competition calendars. Emerging evidence indicates that poor load management is a major risk factor ...

Abstract: In this article, an adaptive distributed underfrequency load shedding strategy is proposed to ensure the frequency stability of power systems considering the communication latency and ...

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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.