6 citations · 10 across the 4 of their papers we have counts for
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cs.LG2023★ 6 cited
Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics
Zhuohang Li, Chao Yan, Xinmeng Zhang +4
Deep learning continues to rapidly evolve and is now demonstrating remarkable potential for numerous medical prediction tasks. However, realizing deep learning models that generali…
cs.LG2022★ 1 cited
Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels
Qiuchen Zhang, Jing Ma, Jian Lou +2
Deep learning models trained on large-scale data have achieved encouraging performance in many real-world tasks. Meanwhile, publishing those models trained on sensitive datasets, s…
cs.LG2022★ 2 cited
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning
Yifei Ren, Jian Lou, Li Xiong +3
Tensor factorization has received increasing interest due to its intrinsic ability to capture latent factors in multi-dimensional data with many applications such as recommender sy…