Author

Daniel Würtinger

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Jul 2026

MoPET: Parameter-Efficient Mixture-of-Experts for Unified Medical Image Classification

MoPET, a mixture-of-experts (MoE) method that uses a learned sparse router to direct each input through a small subset of low-rank PEFT experts injected into a frozen foundation model, sharing capacity across datasets while limiting cross-domain gradient conflict is proposed.

Sebastian Doerrich, Daniel Würtinger, Francesco Di Salvo et al. · arXiv.org · 0 citations