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News/Memory-Efficient Structured Backpropagation for On-Device LLM Fine-Tuning
arxiv
PublishedJune 1, 2026 at 4:00 AM

Memory-Efficient Structured Backpropagation for On-Device LLM Fine-Tuning

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arXiv:2602.13069v2 Announce Type: replace-cross Abstract: On-device fine-tuning enables privacy-preserving personalization of large language models, but mobile devices impose severe memory constraints, typically 6--12GB shared across all workloads. Existing approaches force a trade-off between exact

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