2 citations · 4 across the 11 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.DC2024
Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning
Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu +3
This paper presents FedType, a simple yet pioneering framework designed to fill research gaps in heterogeneous model aggregation within federated learning (FL). FedType introduces…
cs.LG2024★ 1 cited
Exploring Fairness in Educational Data Mining in the Context of the Right to be Forgotten
Wei Qian, Aobo Chen, Chenxu Zhao +2
In education data mining (EDM) communities, machine learning has achieved remarkable success in discovering patterns and structures to tackle educational challenges. Notably, fairn…
cs.LG2024★ 1 cited
Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction
Wei Qian, Chenxu Zhao, Yangyi Li +3
Despite the recent progress in deep neural networks (DNNs), it remains challenging to explain the predictions made by DNNs. Existing explanation methods for DNNs mainly focus on po…