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math.OC2020
A flexible framework for communication-efficient machine learning: from HPC to IoT
Sarit Khirirat, Sindri Magnússon, Arda Aytekin +1
With the increasing scale of machine learning tasks, it has become essential to reduce the communication between computing nodes. Early work on gradient compression focused on the…
math.OC2018
POLO: a POLicy-based Optimization library
Arda Aytekin, Martin Biel, Mikael Johansson
We present POLO --- a C++ library for large-scale parallel optimization research that emphasizes ease-of-use, flexibility and efficiency in algorithm design. It uses multiple inher…