# R14: FuseFSS: Efficient Secure LLM Inference with Function Secret Sharing

FuseFSS targets fusion and efficiency of secure nonlinear/helper operations in FSS-based LLM inference. PLLM status: tracked.

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Document ID: `pllm.docs.research.papers.r14-fusefss`  
Release: `0.1.0`

**Status:** `tracked`
**Year:** 2026
**Authors:** Yuhan Ma, Yong Li, Stefan Schmid
**External source:** [FuseFSS: Efficient Secure LLM Inference with Function Secret Sharing](https://arxiv.org/abs/2606.09551)

## Source contribution

FuseFSS targets fusion and efficiency of secure nonlinear/helper operations in FSS-based LLM inference.

## PLLM perspective

Acquire and pin the full source and artifact; port complete fused helpers with their offline key generation, remaining secure multiplication and rescaling.

Prior reference fused-polynomial experiments are alternative methods, not a FuseFSS implementation.

This paper remains tracked. Named modules below are implementation targets, not finished PLLM components; no reproduction, integration, assurance, or matched benchmark is claimed.

The source's boundary remains binding: A fused key lookup does not make subsequent private polynomial evaluation free. Public model support does not eliminate the second online role.

## PLLM modules and documentation

Target module identifiers: `gate.fss_fused`, `compiler.fss_fusion`. These identifiers describe scoped work unless this page explicitly links an implementation source. Dependencies: R13.

- [Research backlog](/research/backlog/)
- [Reimplementation backlog](/research/backlog/)
- [Clean-room workflow](/research/clean-room/)

## Backlog

This source is assigned to reimplementation priority 8, **Full-system comparison targets**. Its source-registry order is 14. Follow current gates and unfinished work in the [research backlog](/research/backlog/).