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08/31/2023
Communication-Efficient Decentralized Federated Learning via One-Bit Compressive Sensing
Decentralized federated learning (DFL) has gained popularity due to its ...
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08/26/2023
Generalized Lightness Adaptation with Channel Selective Normalization
Lightness adaptation is vital to the success of image processing to avoi...
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08/06/2023
Learning Fine-Grained Features for Pixel-wise Video Correspondences
Video analysis tasks rely heavily on identifying the pixels from differe...
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08/23/2022
Exact Penalty Method for Federated Learning
Federated learning has burgeoned recently in machine learning, giving ri...
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06/19/2022
0/1 Deep Neural Networks via Block Coordinate Descent
The step function is one of the simplest and most natural activation fun...
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05/20/2022
Test-time Batch Normalization
Deep neural networks often suffer the data distribution shift between tr...
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05/03/2022
Efficient and Convergent Federated Learning
Federated learning has shown its advances over the last few years but is...
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04/22/2022
Federated Learning via Inexact ADMM
One of the crucial issues in federated learning is how to develop effici...
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02/19/2022
An Oracle Gradient Regularized Newton Method for Quadratic Measurements Regression
Recently, recovering an unknown signal from quadratic measurements has g...
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02/03/2022
Retinal Vessel Segmentation with Pixel-wise Adaptive Filters
Accurate retinal vessel segmentation is challenging because of the compl...
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11/21/2021
Accretionary Learning with Deep Neural Networks
One of the fundamental limitations of Deep Neural Networks (DNN) is its ...
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10/28/2021
Communication-Efficient ADMM-based Federated Learning
Federated learning has shown its advances over the last few years but is...
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12/16/2019
Support Vector Machine Classifier via L_0/1 Soft-Margin Loss
Support vector machine (SVM) has attracted great attentions for the last...
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07/17/2014
