Model Aggregation Method for Data Parallelism in Distributed Real-Time Machine Learning of Smart Sensing Equipment
In distributed real-time machine learning of smart sensing equipment, training speed and training accuracy are two hard-to-choose trade-off performance measures directly influenced by the design of distributed machine learning algorithms. And it will influence effort of smart sensing equipment direc...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8911318/ |