With the rapid development of deep learning, object detection and tracki...
Latest federated learning (FL) methods started to focus on how to use
un...
Most existing federated learning methods assume that clients have fully
...
The convolutional neural network (CNN) learns the same object in differe...
The interplay between quantum physics and machine learning gives rise to...
In this paper, we propose Hierarchical Federated Learning with Momentum
...
Embedding approaches have become one of the most pervasive techniques fo...
With the fast development of mobile edge computing (MEC), there is an
in...
Numerous resource-limited smart objects (SOs) such as sensors and actuat...
Federated learning (FL) is a fast-developing technique that allows multi...
Given a large number of online services on the Internet, from time to ti...
Existing research into online multi-label classification, such as online...