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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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Published: |
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/59161/ |
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| Institution: | Universiti Teknologi Malaysia |