most citedTraining Recommender Systems at Scale: Communication-Efficient Model and Data Parallelism

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cs.LG2020★ 1 cited

Training Recommender Systems at Scale: Communication-Efficient Model and Data Parallelism

Vipul Gupta, Dhruv Choudhary, Ping Tak Peter Tang +6

In this paper, we consider hybrid parallelism -- a paradigm that employs both Data Parallelism (DP) and Model Parallelism (MP) -- to scale distributed training of large recommendat…