MPCA SGD—A Method for Distributed Training of Deep Learning Models on Spark
Matthias Langer; Ashley Hall; Zhen He; Wenny Rahayu · 2018 · IEEE Transactions on Parallel and Distributed Systems
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Many distributed deep learning systems have been published over the past few years, often accompanied by impressive performance claims. In practice these figures are often achieved in high performance computing (HPC) environments with fast…
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Metadata source: OpenAlex · DOI 10.1109/tpds.2018.2833074