# R01: Dash: Accelerating Distributed Private Convolutional Neural Network Inference with Arithmetic Garbled Circuits

Arithmetic garbling and LabelTensors provide the foundation for offline preparation and local encoded public-weight evaluation. PLLM status: reference primitive only.

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Document ID: `pllm.docs.research.papers.r01-dash`  
Release: `0.1.0`

**Status:** `reference primitive only`
**Year:** 2024
**Authors:** Jonas Sander, Sebastian Berndt, Ida Bruhns, Thomas Eisenbarth
**External source:** [Dash: Accelerating Distributed Private Convolutional Neural Network Inference with Arithmetic Garbled Circuits](https://arxiv.org/html/2302.06361v2)

## Source contribution

Arithmetic garbling and LabelTensors provide the foundation for offline preparation and local encoded public-weight evaluation.

## PLLM perspective

Implement affine-label arithmetic, constant multiplication with the required algebraic preconditions, projections and tensorized evaluation. Preserve the original circuit functionality before adapting to transformers.

Prior single-server, model-aware and tenx archives contain adaptations, not a reproduced Dash release.

PLLM has related clean-room reference primitives only. They are not a paper reproduction, reviewed protected runtime, or complete-model result.

The source's boundary remains binding: Do not inherit malicious security by importing kernels: the paper discusses additional integrity mechanisms and trusted-hardware or cryptographic configurations.

## PLLM modules and documentation

Target module identifiers: `garble.affine_label`, `kernel.label_tensor`, `gate.projection`. These identifiers describe scoped work unless this page explicitly links an implementation source. Dependencies: R03, R04.

- [Research backlog](/research/backlog/)
- [Reimplementation backlog](/research/backlog/)
- [Clean-room workflow](/research/clean-room/)
- [Arithmetic garbling documentation](/sdk/pipeline/protocols/garbling/arithmetic/)
- [Reference garbling source](https://github.com/blairhudson/pllm/blob/main/crates/pllm-garble/src/lib.rs)

## Backlog

This source is assigned to reimplementation priority 3, **Arithmetic garbling foundation**. Its source-registry order is 1. Follow current gates and unfinished work in the [research backlog](/research/backlog/).