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LOREN: Low-Rank Adaptation for Neural Receivers
#research#loren#v1#neural-receivers#low-rank-adaptationloren
⚡ 30-Second TL;DR
有什麼變化
Low-rank adapters in convolutional layers
為什麼重要
Makes neural receivers practical for wireless systems by reducing memory and power needs. Supports multiple code rates efficiently in 22nm tech.
下一步行動
Evaluate benchmark claims against your own use cases before adoption.
誰應關注：Researchers & Academics
關鍵要點
- •Low-rank adapters in convolutional layers
- •65% silicon area savings, 15% power reduction
- •End-to-end training on 3GPP channels
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