An Adaptive Synchronous Parallel Strategy for Distributed Machine Learning
In recent years, distributed systems have mainly been used to train machine learning (ML) models. However, as a result of the different performances among computational nodes in a distributed cluster and delays in network transmission, the accuracies and convergence rates of ML models are relatively...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8327827/ |