Distributed Learning and its Application for Time-Series Prediction

no code implementations • 6 Jun 2021 • Nhuong V. Nguyen, Sybille Legitime

Our goal is to (i) compare and investigate the effect of some common extreme events modeling methods to explore which method can be practical in reality and (ii) accelerate the deep learning training process, which commonly uses deep recurrent neural network (RNN), by implementing the asynchronous local Stochastic Gradient Descent (SGD) framework among multiple compute nodes.

Time Series Time Series Prediction