19 citations · 82 across the 31 of their papers we have counts for
9 papers · 1 filter
DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning
Zhaoxing Yang, Rong Ding, Haiming Jin +5
In recent years, multi-agent reinforcement learning (MARL) has presented impressive performance in various applications. However, physical limitations, budget restrictions, and man…
Networked Time Series Prediction with Incomplete Data via Generative Adversarial Network
Yichen Zhu, Bo Jiang, Haiming Jin +5
A networked time series (NETS) is a family of time series on a given graph, one for each node. It has a wide range of applications from intelligent transportation, environment moni…
Scientific X-ray
Qi Li, Xinbing Wang, Luoyi Fu +1
The rapid development of modern science and technology has spawned rich scientific topics to research and endless production of literature in them. Just like X-ray imaging in medic…
Privacy Threats Analysis to Secure Federated Learning
Yuchen Li, Yifan Bao, Liyao Xiang +4
Federated learning is emerging as a machine learning technique that trains a model across multiple decentralized parties. It is renowned for preserving privacy as the data never le…
Exploring the Disproportion Between Scientific Productivity and Knowledge Amount
Luoyi Fu, Huquan Kang, Jianghao Wang +3
The pursuit of knowledge is the permanent goal of human beings. Scientific literature, as the major medium that carries knowledge between scientists, exhibits explosive growth duri…
Improved Matrix Gaussian Mechanism for Differential Privacy
Jungang Yang, Liyao Xiang, Weiting Li +2
The wide deployment of machine learning in recent years gives rise to a great demand for large-scale and high-dimensional data, for which the privacy raises serious concern. Differ…