A-SDLM: an asynchronous Stochastic Learning Algorithm for fast distributed learning

We propose an asynchronous version of stochastic secondorder optimization algorithm for parallel distributed learning. Our proposed algorithm, namely Asynchronous Stochastic Diagonal Levenberg-Marquardt (A-SDLM) contains only a single hyper-parameter (i.e. the learning rate) while still retaining it...

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Bibliographic Details
Main Authors: Hani, M. K., Liew, S. S.
Format: Conference or Workshop Item
Published: 2015
Subjects:
Online Access:http://eprints.utm.my/id/eprint/59161/
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