Most work in privacy-preserving federated learning (FL) has been focusin...
The majority of work in privacy-preserving federated learning (FL) has b...
Considering the user mobility and unpredictable mobile edge computing (M...
Distributed sparse deep learning has been widely used in many internet-s...
In-network computation has been widely used to accelerate data-intensive...
It is well known that adversarial attacks can fool deep neural networks ...
Optical remote sensing imagery has been widely used in many fields due t...