After completing the design and training phases, deploying a deep learni...
Federated learning (FL) is a nascent distributed learning paradigm
to tr...
Adversarial examples (AEs) for DNNs have been shown to be transferable: ...
Federated learning is a newly emerging distributed learning framework th...
The dynamic formulation of optimal transport has attracted growing inter...
Federated learning (FL) enables multiple clients to collaboratively trai...
Recently emerged federated learning (FL) is an attractive distributed
le...
We consider the inpainting problem for noisy images. It is very challeng...