A new survey of U.S. energy professionals suggests that load flexibility and demand response (DR) programs are becoming central components of grid management as large-load growth accelerates. The ...
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Abstract: This paper presents a novel distributed network control framework for cooperative heavy-load transportation using multi-UAV systems, accounting for thrust limitations and heterogeneous cable ...
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.
Citation to paper: Hadi Amini, Md Jueal Mia, Yasaman Saadati, Ahmed Imteaj, Seyedsina Nabavirazavi, Urmish Thakker, Md Zarif Hossain, Awal Ahmed Fime, and S. S. Iyengar, " Distributed LLMs and ...