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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...
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05/06/2023
Weighted Point Cloud Normal Estimation
Existing normal estimation methods for point clouds are often less robus...
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10/14/2022
Neural Routing in Meta Learning
Meta-learning often referred to as learning-to-learn is a promising noti...
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08/20/2022
FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution
Classical federated learning approaches yield significant performance de...
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10/20/2021
Deep Point Cloud Normal Estimation via Triplet Learning
Normal estimation on 3D point clouds is a fundamental problem in 3D visi...
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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...
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06/18/2020