Abstract: In this paper, we study a challenging problem in image restoration, namely, how to develop an all-in-one method that could recover images from a variety of unknown corruption types and ...
San Francisco’s depressed hotel market is finally beginning to recover, but a full turnaround to the glory days before COVID-19 isn’t right around the corner. The good news for the Bay Area tourism ...
Abstract: In this article, we propose a method, generative image reconstruction from gradients (GIRG), for recovering training images from gradients in a federated learning (FL) setting, where privacy ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback