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Freeze the Decoder, Heal the Encoder: Parameter-Efficient Adaptation for SVD-Based KV-Cache Compression
Not provided in the abstract
fine-tuningKV-cache compressionparameter efficiencymodel adaptation
2610.10552
Builder Relevance
2h ago80%
Abstract
The paper discusses the flaws in using a shared learning rate for parameter-efficient fine-tuning and proposes a method for low-rank KV-cache compression that achieves significant memory savings.
Reality Card
Core Claim
Freezing the decoder and healing only the encoder achieves parity with other methods while using 3x fewer trainable parameters and 3x less optimizer-state memory.
Method / Result
Achieved a real measured saving of 3x fewer trainable parameters and 3x less optimizer-state memory.
Limitations
The results are based on a specific compression ratio and may not generalize across different configurations or models.
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