Cross-Platform Fused MoE Dispatch in Triton: Portable Expert Routing Without CUDA

2026-05-26T08:52:19Z0c2936d124f97411c42702d5ee2b045ad0301d21ecb58270d70c4c2d19e9c0a2
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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Record · Cross-Platform Fused MoE Dispatch in Triton: Portable Expert Routing Without CUDA · Baitaphish