Improving Federated Learning Personalization via Model Agnostic Meta Learning

Yihan Jiang, Jakub Konečný, Keith Rush +1

Federated Learning (FL) refers to learning a high quality global model based on decentralized data storage, without ever copying the raw data. A natural scenario arises with data c…