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LightSplit: Practical Privacy-Preserving Split Learning via Orthogonal Projections (Full Version)
Split learning (SL) enables collaborative training by partitioning a neural network across clients and a central server. However, the cut-layer interface introduces a key challenge: high-dimensional activations incur substantial communication overhead while exposing representations vulnerable to rec
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