ProvFL: Client-Driven Interpretability of Global Model Predictions in Federated Learning
The article introduces ProvFL, a mechanism that aids in interpreting and explaining global model predictions in Federated Learning (FL). It’s designed to track the information flow between individual clients in…
Continue reading