research
∙
07/28/2023
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design
Federated Learning (FL) has been an area of active research in recent ye...
share
research
∙
05/06/2023
Weighted Point Cloud Normal Estimation
Existing normal estimation methods for point clouds are often less robus...
research
∙
10/14/2022
Neural Routing in Meta Learning
Meta-learning often referred to as learning-to-learn is a promising noti...
research
∙
08/20/2022
FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution
Classical federated learning approaches yield significant performance de...
research
∙
10/20/2021
Deep Point Cloud Normal Estimation via Triplet Learning
Normal estimation on 3D point clouds is a fundamental problem in 3D visi...
research
∙
03/04/2021
Learning Accurate and Interpretable Decision Rule Sets from Neural Networks
This paper proposes a new paradigm for learning a set of independent log...
research
∙
06/18/2020
