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Published in 2023 at "IEEE Transactions on Cloud Computing"
DOI: 10.1109/tcc.2021.3102593
Abstract: Machine learning (ML) models are increasingly trained with distributed workers possessing heterogeneous resources. In such scenarios, model training efficiency may be negatively affected by stragglers—workers that run much slower than others. Efficient model training requires…
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Keywords:
accelerating distributed;
learning non;
load;
dedicated environments ... See more keywords