most citedPrivacy-preserving design of graph neural networks with applications to vertical federated learning

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2023★ 2 cited

Privacy-preserving design of graph neural networks with applications to vertical federated learning

Ruofan Wu, Mingyang Zhang, Lingjuan Lyu +6

The paradigm of vertical federated learning (VFL), where institutions collaboratively train machine learning models via combining each other's local feature or label information, h…