most citedUnderstand Data Preprocessing for Effective End-to-End Training of Deep Neural Networks

3 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023★ 1 cited

Towards Unbiased Training in Federated Open-world Semi-supervised Learning

Jie Zhang, Xiaosong Ma, Song Guo +1

Federated Semi-supervised Learning (FedSSL) has emerged as a new paradigm for allowing distributed clients to collaboratively train a machine learning model over scarce labeled dat…

cs.LG2023★ 3 cited

Understand Data Preprocessing for Effective End-to-End Training of Deep Neural Networks

Ping Gong, Yuxin Ma, Cheng Li +2

In this paper, we primarily focus on understanding the data preprocessing pipeline for DNN Training in the public cloud. First, we run experiments to test the performance implicati…