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LOREN: Low-Rank Adaptation for Neural Receivers

LOREN: Low-Rank Adaptation for Neural Receivers
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๐Ÿ“„Read original on ArXiv AI

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What Changed

Low-rank adapters in convolutional layers

Why It Matters

Makes neural receivers practical for wireless systems by reducing memory and power needs. Supports multiple code rates efficiently in 22nm tech.

What To Do Next

Evaluate benchmark claims against your own use cases before adoption.

Who should care:Researchers & Academics
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