FedMetaMed: Federated Meta-Learning for Personalized Medical Treatment

Abstract

FedMetaMed integrates federated learning and meta-learning to enhance personalized medication strategies across distributed healthcare systems, improving model adaptability and privacy preservation in medical treatment recommendation systems.

Publication
IEEE International Conference on Bioinformatics and Biomedicine
Yuangang Li
Yuangang Li
PhD Student at UCI