Improving Scalability of Parallel CNN Training by Adjusting Mini-Batch Size at Run-Time

Research article (2019 IEEE International Conference on Big Data (Big Data), 2019) · cited 32× · AI/ML
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Improving Scalability of Parallel CNN Training by Adjusting Mini-Batch Size at Run-Time

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Improving Scalability of Parallel CNN Training by Adjusting Mini-Batch Size at Run-Time is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Improving Scalability of Parallel CNN Training by Adjusting Mini-Batch Size at Run-Time. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-scalability-of-parallel-cnn-training-by-adjusting-mini-batch-size-at-run-time
MLA “Improving Scalability of Parallel CNN Training by Adjusting Mini-Batch Size at Run-Time.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-scalability-of-parallel-cnn-training-by-adjusting-mini-batch-size-at-run-time.
BibTeX @misc{4ortxyz_improving-scalability-of-parallel-cnn-training-by-adjusting-mini-batch-size-at-run-time_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving Scalability of Parallel CNN Training by Adjusting Mini-Batch Size at Run-Time}}, year = {2026}, url = {https://4ort.xyz/entity/improving-scalability-of-parallel-cnn-training-by-adjusting-mini-batch-size-at-run-time}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving Scalability of Parallel CNN Training by Adjusting Mini-Batch Size at Run-Time — https://4ort.xyz/entity/improving-scalability-of-parallel-cnn-training-by-adjusting-mini-batch-size-at-run-time (retrieved 2026-05-24)

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