Hiroto Sawada

FLRSP: privacy-preserving federated learning using randomly selected model parameters

In this paper, the authors propose a method for privacy-preserving federated learning (FL) that uses randomly selected model parameters to update global models. High-quality deep neural network models require a huge amount of training data in general, but model training raises pr...