20 citations · 21 across the 2 of their papers we have counts for
3 papers
cs.CR2021★ 1 cited
A Quantitative Metric for Privacy Leakage in Federated Learning
Yong Liu, Xinghua Zhu, Jianzong Wang +1
In the federated learning system, parameter gradients are shared among participants and the central modulator, while the original data never leave their protected source domain. Ho…
cs.AI2019★ 20 cited
Multi-Agent Game Abstraction via Graph Attention Neural Network
Yong Liu, Weixun Wang, Yujing Hu +3
In large-scale multi-agent systems, the large number of agents and complex game relationship cause great difficulty for policy learning. Therefore, simplifying the learning process…
cs.AI2019
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning
Weixun Wang, Tianpei Yang, Yong Liu +6
A lot of efforts have been devoted to investigating how agents can learn effectively and achieve coordination in multiagent systems. However, it is still challenging in large-scale…