2 papers
cs.LG2021
Aggregation Delayed Federated Learning
Ye Xue, Diego Klabjan, Yuan Luo
Federated learning is a distributed machine learning paradigm where multiple data owners (clients) collaboratively train one machine learning model while keeping data on their own…
cs.LG2019
Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension
Ye Xue, Diego Klabjan, Yuan Luo
The problem of missing values in multivariable time series is a key challenge in many applications such as clinical data mining. Although many imputation methods show their effecti…