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RAPTOR: Role-Aware Private Training for Mixture-of-Experts

This story is from 2026-09-09. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.05770v1 Announce Type: new Abstract: Differentially private (DP) fine-tuning methods treat sparse Mixture-of-Experts (MoE) models as a single dense block, ignoring that shared layers see all data while experts only see routed records. We identify and formally characterize three resulting…

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  1. 2026-09-09 04:00 · arXiv cs.LG
    RAPTOR: Role-Aware Private Training for Mixture-of-Experts

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