5 citations · 10 across the 3 of their papers we have counts for
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cs.CR2023
Enhancing Accuracy-Privacy Trade-off in Differentially Private Split Learning
Ngoc Duy Pham, Khoa Tran Phan, Naveen Chilamkurti
Split learning (SL) aims to protect user data privacy by distributing deep models between client-server and keeping private data locally. Only processed or `smashed' data can be tr…
cs.CR2022★ 5 cited
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…