Protecting Sensitive Data through Federated Co-Training: Privacy and Model Quality Trade-Off

The author proposes a federated co-training approach to collaboratively train models while improving privacy substantially. This method achieves a favorable privacy-utility trade-off compared to traditional federated learning methods.