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Advances in Asynchronous Parallel and Distributed Optimization
Motivated by large-scale optimization problems arising in the context of...
06/24/2020 ∙ by Mahmoud Assran, et al. ∙
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Communication Efficient Sparsification for Large Scale Machine Learning
The increasing scale of distributed learning problems necessitates the d...
03/13/2020 ∙ by Sarit Khirirat, et al. ∙
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Harnessing the Power of Serverless Runtimes for Large-Scale Optimization
The event-driven and elastic nature of serverless runtimes makes them a ...
01/10/2019 ∙ by Arda Aytekin, et al. ∙
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POLO: a POLicy-based Optimization library
We present POLO --- a C++ library for large-scale parallel optimization ...
10/08/2018 ∙ by Arda Aytekin, et al. ∙
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Analysis and Implementation of an Asynchronous Optimization Algorithm for the Parameter Server
This paper presents an asynchronous incremental aggregated gradient algo...
10/18/2016 ∙ by Arda Aytekin, et al. ∙
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An Asynchronous Mini-Batch Algorithm for Regularized Stochastic Optimization
Mini-batch optimization has proven to be a powerful paradigm for large-s...
05/18/2015 ∙ by Hamid Reza Feyzmahdavian, et al. ∙
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