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News/Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers
arxiv
PublishedJuly 14, 2026 at 4:00 AM
—neutral

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers

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Publisher summary· verbatim

arXiv:2607.04819v2 Announce Type: replace Abstract: Fully homomorphic encryption (FHE) enables computation on encrypted data, but practical encrypted Transformer inference is bottlenecked by the sequential composition of many nonlinear blocks. We study whether Structured Newton Layer Parallelism (SN

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