Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning
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We provide a discussion of several recent results which, in certain scenarios, are able to overcome a barrier in distributed stochastic optimization for machine learning. Our focus is the so-called asymptotic network independence property, which is achieved wh... ...