83 citations · 122 across the 5 of their papers we have counts for
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cs.LG2022★ 2 cited
WrapperFL: A Model Agnostic Plug-in for Industrial Federated Learning
Xueyang Wu, Shengqi Tan, Qian Xu +1
Federated learning, as a privacy-preserving collaborative machine learning paradigm, has been gaining more and more attention in the industry. With the huge rise in demand, there h…
cs.LG2020★ 23 cited
Graph Random Neural Network for Semi-Supervised Learning on Graphs
Wenzheng Feng, Jie Zhang, Yuxiao Dong +6
We study the problem of semi-supervised learning on graphs, for which graph neural networks (GNNs) have been extensively explored. However, most existing GNNs inherently suffer fro…
cs.LG2019★ 83 cited
Federated Deep Reinforcement Learning
Hankz Hankui Zhuo, Wenfeng Feng, Yufeng Lin +2
In deep reinforcement learning, building policies of high-quality is challenging when the feature space of states is small and the training data is limited. Despite the success of…