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Low-rank compression

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Showing 11–20 of 34 papers

TitleStatusHype
Efficient Wireless Federated Learning via Low-Rank Gradient FactorizationCode0
ELRT: Efficient Low-Rank Training for Compact Convolutional Neural Networks—0
Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization—0
Adaptive Pruning of Pretrained Transformer via Differential Inclusions—0
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks—0
LoRC: Low-Rank Compression for LLMs KV Cache with a Progressive Compression Strategy—0
Low-Rank Compression for IMC Arrays—0
Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer—0
MLorc: Momentum Low-rank Compression for Large Language Model Adaptation—0
Model compression as constrained optimization, with application to neural nets. Part V: combining compressions—0
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