91 citations · 128 across the 5 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.LG2020★ 15 cited
A Theoretical Perspective on Differentially Private Federated Multi-task Learning
Huiwen Wu, Cen Chen, Li Wang
In the era of big data, the need to expand the amount of data through data sharing to improve model performance has become increasingly compelling. As a result, effective collabora…
math.OC2020★ 1 cited
Randomized Fast Subspace Descent Methods
Long Chen, Xiaozhe Hu, Huiwen Wu
Randomized Fast Subspace Descent (RFASD) Methods are developed and analyzed for smooth and non-constraint convex optimization problems. The efficiency of the method relies on a spa…
cs.LG2020★ 21 cited
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification
Chaochao Chen, Jun Zhou, Longfei Zheng +7
Recently, Graph Neural Network (GNN) has achieved remarkable progresses in various real-world tasks on graph data, consisting of node features and the adjacent information between…