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Memory-Efficient Structured Backpropagation for On-Device LLM Fine-Tuning
专为大模型设备端微调设计的内存高效结构化反向传播,突破移动设备6-12GB内存限制,实现隐私保护与性能平衡。
arXiv:2602.13069v2 Announce Type: replace Abstract: On-device fine-tuning enables privacy-preserving personalization of large language models, but mob…