Interplay between Federated Learning and Explainable Artificial
Intelligence: a Scoping Review
Interplay between Federated Learning and Explainable Artificial
Intelligence: a Scoping Review
The joint implementation of Federated learning (FL) and Explainable artificial intelligence (XAI) will allow training models from distributed data and explaining their inner workings while preserving important aspects of privacy. Towards establishing the benefits and tensions associated with their interplay, this scoping review maps those publications that jointly deal with …