IEEE

Secure Smart Health Care Data Transfer in Consumer Electronics Using Split Learning-Based Binary Sequential Split Vanilla Network

Abstract: Split learning (SL) is a privacy-focused method for training deep learning models that prevents clients and servers from sharing raw data. There are a few downsides to supervised learning, ...
IEEE

Split Learning Without Local Weight Sharing to Enhance Client-Side Data Privacy

Abstract: Split learning (SL) aims to protect user data privacy by distributing deep models between the client-server and keeping private data locally. In SL training with multiple clients, the local ...