This article addresses the challenge of training AI models in personalized Internet of Things systems while ensuring data security and privacy. Authors combine federated and meta-learning to improve model training performance, adaptation speed, cost-efficiency, and security against attacks.
- Linlin You
- Zihan Guo
- H. Vincent Poor