FedTKD: A Trustworthy Heterogeneous Federated Learning Based on Adaptive Knowledge Distillation.

Federated learning allows multiple parties to train models while jointly protecting user privacy. However, traditional federated learning requires each client to have the same model structure to fuse the global model. In real-world scenarios, each client may need to develop personalized models based on its environment, making it difficult to perform federated learning in a heterogeneous model environment.

Development of the Nurses' Willingness to Engage in Palliative Care Scale.

Nurses play an important role in palliative care, and their willingness to engage in such work is thus crucial. The purpose of this study was to develop, and test the reliability and validity of, the Nurses' Willingness to Engage in Palliative Care Scale. The sample consisted of 224 Chinese nurses with a mean age of 32.