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09/12/2023
Introducing Shape Prior Module in Diffusion Model for Medical Image Segmentation
Medical image segmentation is critical for diagnosing and treating spina...
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06/18/2022
Motley: Benchmarking Heterogeneity and Personalization in Federated Learning
Personalized federated learning considers learning models unique to each...
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06/16/2022
On Privacy and Personalization in Cross-Silo Federated Learning
While the application of differential privacy (DP) has been well-studied...
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10/11/2021
The Skellam Mechanism for Differentially Private Federated Learning
We introduce the multi-dimensional Skellam mechanism, a discrete differe...
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08/18/2021
ECG-Based Heart Arrhythmia Diagnosis Through Attentional Convolutional Neural Networks
Electrocardiography (ECG) signal is a highly applied measurement for ind...
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04/26/2021
Provenance-based Data Skipping (TechReport)
Database systems analyze queries to determine upfront which data is need...
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02/12/2021
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation
We consider training models on private data that is distributed across u...
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07/06/2020
Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning
We present a multi-agent actor-critic method that aims to implicitly add...
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03/31/2020
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
Spatial-temporal graphs have been widely used by skeleton-based action r...
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08/25/2019
LightMC: A Dynamic and Efficient Multiclass Decomposition Algorithm
Multiclass decomposition splits a multiclass classification problem into...
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03/26/2019
Error Analysis for the Particle Filter: Methods and Theoretical Support
The particle filter is a popular Bayesian filtering algorithm for use in...
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03/05/2019