27 citations · 31 across the 3 of their papers we have counts for
3 papers
cs.AI2023★ 3 cited
Federated Neuro-Symbolic Learning
Pengwei Xing, Songtao Lu, Han Yu
Neuro-symbolic learning (NSL) models complex symbolic rule patterns into latent variable distributions by neural networks, which reduces rule search space and generates unseen rule…
cs.DC2022★ 27 cited
Federated Graph Neural Networks: Overview, Techniques and Challenges
Rui Liu, Pengwei Xing, Zichao Deng +3
With its capability to deal with graph data, which is widely found in practical applications, graph neural networks (GNNs) have attracted significant research attention in recent y…
cs.CL2020★ 1 cited
Federated Learning for Personalized Humor Recognition
Xu Guo, Han Yu, Boyang Li +5
Computational understanding of humor is an important topic under creative language understanding and modeling. It can play a key role in complex human-AI interactions. The challeng…