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cs.LG2022★ 3 cited
Adaptive Stochastic Gradient Descent for Fast and Communication-Efficient Distributed Learning
Serge Kas Hanna, Rawad Bitar, Parimal Parag +2
We consider the setting where a master wants to run a distributed stochastic gradient descent (SGD) algorithm on workers, each having a subset of the data. Distributed SGD may…
cs.LG2022★ 3 cited
Computational complexity reduction of deep neural networks
Mee Seong Im, Venkat R. Dasari
Deep neural networks (DNN) have been widely used and play a major role in the field of computer vision and autonomous navigation. However, these DNNs are computationally complex an…