177 citations · 352 across the 12 of their papers we have counts for
Showing 2019Show all
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cs.LG2019★ 57 cited
A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression
Kai Yang, Tao Fan, Tianjian Chen +2
Data privacy and security becomes a major concern in building machine learning models from different data providers. Federated learning shows promise by leaving data at providers l…
cs.LG2019★ 177 cited
SecureBoost: A Lossless Federated Learning Framework
Kewei Cheng, Tao Fan, Yilun Jin +4
The protection of user privacy is an important concern in machine learning, as evidenced by the rolling out of the General Data Protection Regulation (GDPR) in the European Union (…