Privacy-Preserving Split Learning via Noise Adaptive Representation Training
Split learning reduces client-side computation and limits the direct exposure of private data, but it does not fully eliminate privacy leakage because the server can still observe intermediate smashed representations. These representations may preserve sensitive attributes of client inputs and enable property inference...