Cross-Platform Fused MoE Dispatch in Triton: Portable Expert Routing Without CUDA
2026-05-26T08:52:19Z•0c2936d124f97411c42702d5ee2b045ad0301d21ecb58270d70c4c2d19e9c0a2
cache-evictiondata-leakageedge-computingfederated-learninginference-infrastructurekernel-portabilitykv-cacheloramachine-learningmodel-infrastructuremodel-poisoningmoeopen-sourceprivacyside-channelsupply-chaintriton
What happened
This batch contains systems and ML infra papers with multiple security- and privacy-relevant implications. Key items: TritonMoE (a fully-Triton fused MoE dispatch kernel) increases cross-vendor portability and performance but broadens the runtime/kernel attack surface by moving a large fused kernel into portable, open-source Triton code. LoRA fusion and the prune-train-recover + LoRA-CR work highlight that naively fusing adapters from private edge devices fails and can produce degraded or conflicting parameter updates—raising confidentiality, integrity (poisoning/conflict), and provenance/atf-
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_dc
- Record identifier
- 0c2936d124f97411c42702d5ee2b045ad0301d21ecb58270d70c4c2d19e9c0a2
- Enrichment time
- 2026-05-26T08:52:19Z
- AI-assisted enrichment
- Yes
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