Profiling Privacy Preservation Against Gradient Inversion Attacks in Tabular Federated Learning

Ivo Osterberg Nilsson, Maximilian Birr Engvall, Viktor Valadi +1

Federated learning (FL) enables multiple data holders to train machine learning models collaboratively without centralizing raw data, making it useful in privacy sensitive domains…