Achieving Fairness in Dermatological Disease Diagnosis through Automatic Weight Adjusting Federated Learning and Personalization. (arXiv:2208.11187v1 [cs.CV])

Dermatological diseases pose a major threat to the global health, affecting
almost one-third of the world's population. Various studies have demonstrated
that early diagnosis and intervention are often critical to prognosis and
outcome. To this end, the past decade has witnessed the rapid evolvement of
deep learning based smartphone apps, which allow users to conveniently and
timely identify issues that have emerged around their skins. In order to
collect sufficient data needed by deep learning and at the same time …

adjusting arxiv cv diagnosis disease disease diagnosis fairness federated learning learning personalization