13 citations · 41 across the 11 of their papers we have counts for
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cs.LG2024★ 2 cited
Towards Optimal Customized Architecture for Heterogeneous Federated Learning with Contrastive Cloud-Edge Model Decoupling
Xingyan Chen, Tian Du, Mu Wang +5
Federated learning, as a promising distributed learning paradigm, enables collaborative training of a global model across multiple network edge clients without the need for central…
cs.LG2020★ 4 cited
A Batch Normalized Inference Network Keeps the KL Vanishing Away
Qile Zhu, Jianlin Su, Wei Bi +4
Variational Autoencoder (VAE) is widely used as a generative model to approximate a model's posterior on latent variables by combining the amortized variational inference and deep…
cs.LG2016★ 13 cited
Context-Aware Online Learning for Course Recommendation of MOOC Big Data
Yifan Hou, Pan Zhou, Ting Wang +3
The Massive Open Online Course (MOOC) has expanded significantly in recent years. With the widespread of MOOC, the opportunity to study the fascinating courses for free has attract…