6 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.IR2023★ 1 cited
EdgeNet : Encoder-decoder generative Network for Auction Design in E-commerce Online Advertising
Guangyuan Shen, Shengjie Sun, Dehong Gao +3
We present a new encoder-decoder generative network dubbed EdgeNet, which introduces a novel encoder-decoder framework for data-driven auction design in online e-commerce advertisi…
cs.LG2022★ 2 cited
Fast Heterogeneous Federated Learning with Hybrid Client Selection
Guangyuan Shen, Dehong Gao, Duanxiao Song +5
Client selection schemes are widely adopted to handle the communication-efficient problems in recent studies of Federated Learning (FL). However, the large variance of the model up…
cs.LG2022★ 6 cited
Variance-Reduced Heterogeneous Federated Learning via Stratified Client Selection
Guangyuan Shen, Dehong Gao, Libin Yang +4
Client selection strategies are widely adopted to handle the communication-efficient problem in recent studies of Federated Learning (FL). However, due to the large variance of the…