1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View Learning
Daoyuan Li, Zuyuan Yang, Shengli Xie
Federated learning is essential for enabling collaborative model training across decentralized data sources while preserving data privacy and security. This approach mitigates the…
cs.LG2020★ 1 cited
Partially Shared Semi-supervised Deep Matrix Factorization with Multi-view Data
Haonan Huang, Naiyao Liang, Wei Yan +2
Since many real-world data can be described from multiple views, multi-view learning has attracted considerable attention. Various methods have been proposed and successfully appli…