23 citations · 89 across the 24 of their papers we have counts for
4 papers · 1 filter
Federated Recommendation System via Differential Privacy
Tan Li, Linqi Song, Christina Fragouli
In this paper, we are interested in what we term the federated private bandits framework, that combines differential privacy with multi-agent bandit learning. We explore how differ…
The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoost
Mengwei Yang, Linqi Song, Jie Xu +2
Privacy has raised considerable concerns recently, especially with the advent of information explosion and numerous data mining techniques to explore the information inside large v…
A Contextual Bandit Approach for Stream-Based Active Learning
Linqi Song, Jie Xu
Contextual bandit algorithms -- a class of multi-armed bandit algorithms that exploit the contextual information -- have been shown to be effective in solving sequential decision m…
Stream-based Online Active Learning in a Contextual Multi-Armed Bandit Framework
Linqi Song
We study the stream-based online active learning in a contextual multi-armed bandit framework. In this framework, the reward depends on both the arm and the context. In a stream-ba…