9 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning
Tiandi Ye, Wenyan Liu, Kai Yao +6
Federated learning (FL) is a privacy-preserving machine learning paradigm that enables collaborative model training across multiple distributed clients without disclosing their raw…
cs.CR2023★ 9 cited
Online Efficient Secure Logistic Regression based on Function Secret Sharing
Jing Liu, Jamie Cui, Cen Chen
Logistic regression is an algorithm widely used for binary classification in various real-world applications such as fraud detection, medical diagnosis, and recommendation systems.…