Enhancing Security Using Random Binary Weights in Privacy-Preserving Federated Learning

Hiroto Sawada, Shoko Imaizumi, Hitoshi Kiya

In this paper, we propose a novel method for enhancing security in privacy-preserving federated learning using the Vision Transformer. In federated learning, learning is performed…