PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records

1 code implementation • 10 Dec 2021 • Tianyi Zhang, Shirui Zhang, Ziwei Chen, Dianbo Liu

Federated machine learning is a versatile and flexible tool to utilize distributed data from different sources, especially when communication technology develops rapidly and an unprecedented amount of data could be collected on mobile devices nowadays.

Federated Learning Meta-Learning +1