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Advances in Asynchronous Parallel and Distributed Optimization
Motivated by large-scale optimization problems arising in the context of...
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Communication Efficient Sparsification for Large Scale Machine Learning
The increasing scale of distributed learning problems necessitates the d...
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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 ...
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POLO: a POLicy-based Optimization library
We present POLO --- a C++ library for large-scale parallel optimization ...
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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...
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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...
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Arda Aytekin
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