H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning

no code implementations • 1 Jun 2021 • He Yang

The longstanding goals of federated learning (FL) require rigorous privacy guarantees and low communication overhead while holding a relatively high model accuracy.

Federated Learning

Deep Learning for the Classification of Lung Nodules

no code implementations • 21 Nov 2016 • He Yang, Hengyong Yu, Ge Wang

Deep learning, as a promising new area of machine learning, has attracted a rapidly increasing attention in the field of medical imaging.

BIG-bench Machine Learning Classification +2