4 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.DC2022★ 4 cited
Boosting Distributed Training Performance of the Unpadded BERT Model
Jinle Zeng, Min Li, Zhihua Wu +4
Pre-training models are an important tool in Natural Language Processing (NLP), while the BERT model is a classic pre-training model whose structure has been widely adopted by foll…
cs.LG2022★ 2 cited
Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters
Yang Xiang, Zhihua Wu, Weibao Gong +15
The ever-growing model size and scale of compute have attracted increasing interests in training deep learning models over multiple nodes. However, when it comes to training on clo…