arxiv
PublishedJuly 29, 2026 at 4:00 AM
—neutral
BettiSplit: Topology-Guided Privacy-Aware Split Learning Against Feature Inversion and Gradient Leakage
Publisher summary· verbatim
arXiv:2607.24556v1 Announce Type: new Abstract: Split learning enables collaborative model training by partitioning neural networks across clients and servers. However, improper split placement can lead to severe privacy leakage through intermediate representations. In this work, we propose a topolo
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Originally published on arxiv ↗