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cs.LG2020★ 25 cited
Anytime MiniBatch: Exploiting Stragglers in Online Distributed Optimization
Nuwan Ferdinand, Haider Al-Lawati, Stark C. Draper +1
Distributed optimization is vital in solving large-scale machine learning problems. A widely-shared feature of distributed optimization techniques is the requirement that all nodes…
cs.LG2018
Anytime Stochastic Gradient Descent: A Time to Hear from all the Workers
Nuwan Ferdinand, Stark Draper
In this paper, we focus on approaches to parallelizing stochastic gradient descent (SGD) wherein data is farmed out to a set of workers, the results of which, after a number of upd…