3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.IR2025
Unlearning for Federated Online Learning to Rank: A Reproducibility Study
Yiling Tao, Shuyi Wang, Jiaxi Yang +1
This paper reports on findings from a comparative study on the effectiveness and efficiency of federated unlearning strategies within Federated Online Learning to Rank (FOLTR), wit…
cs.LG2023★ 3 cited
Exploring Federated Unlearning: Review, Comparison, and Insights
Yang Zhao, Jiaxi Yang, Yiling Tao +4
The increasing demand for privacy-preserving machine learning has spurred interest in federated unlearning, which enables the selective removal of data from models trained in feder…
cs.LG2023★ 2 cited
TranDRL: A Transformer-Driven Deep Reinforcement Learning Enabled Prescriptive Maintenance Framework
Yang Zhao, Jiaxi Yang, Wenbo Wang +2
Industrial systems demand reliable predictive maintenance strategies to enhance operational efficiency and reduce downtime. This paper introduces an integrated framework that lever…