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09/21/2023
Improving VTE Identification through Adaptive NLP Model Selection and Clinical Expert Rule-based Classifier from Radiology Reports
Rapid and accurate identification of Venous thromboembolism (VTE), a sev...
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09/21/2023
Enabling Quartile-based Estimated-Mean Gradient Aggregation As Baseline for Federated Image Classifications
Federated Learning (FL) has revolutionized how we train deep neural netw...
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09/21/2023
Soft Merging: A Flexible and Robust Soft Model Merging Approach for Enhanced Neural Network Performance
Stochastic Gradient Descent (SGD), a widely used optimization algorithm ...
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03/28/2022
MixNN: A design for protecting deep learning models
In this paper, we propose a novel design, called MixNN, for protecting d...
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09/05/2021
Tolerating Adversarial Attacks and Byzantine Faults in Distributed Machine Learning
Adversarial attacks attempt to disrupt the training, retraining and util...
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12/20/2019
