Split Learning without Local Weight Sharing to Enhance Client-side Data Privacy

Ngoc Duy Pham, Tran Khoa Phan, Alsharif Abuadbba +3

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