Decentralized federated learning (DFL) has gained popularity due to its
...
Lightness adaptation is vital to the success of image processing to avoi...
Video analysis tasks rely heavily on identifying the pixels from differe...
Federated learning has burgeoned recently in machine learning, giving ri...
The step function is one of the simplest and most natural activation
fun...
Deep neural networks often suffer the data distribution shift between
tr...
Federated learning has shown its advances over the last few years but is...
One of the crucial issues in federated learning is how to develop effici...
Recently, recovering an unknown signal from quadratic measurements has g...
Accurate retinal vessel segmentation is challenging because of the compl...
One of the fundamental limitations of Deep Neural Networks (DNN) is its
...
Federated learning has shown its advances over the last few years but is...
Support vector machine (SVM) has attracted great attentions for the last...
This paper aims at achieving a simultaneously sparse and low-rank estima...