Author

Min-Qiu Sun

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Preprint Sep 2026

LayerCheck: Adaptive Layer-wise Checkpointing for Large Language Model Post-training

With the rising computational and monetary costs of training large language models (LLMs), checkpointing---periodically storing model states for recovery---becomes essential for fault tolerance. Conventional checkpointing entails a severe trade-off between checkpoint frequency (I/O overhead) and computational recovery...

Min-Qiu Sun, Xin Huang, Luan-Zheng Guo et al. · 1 citation

Preprint Sep 2026

ZOCheck: CPU-Shadow Checkpointing for Zeroth-Order LLM Fine-Tuning

Zeroth-order (ZO) optimization is an attractive option for memory-efficient LLM fine-tuning, but its fault tolerance remains underexplored. Unlike first-order training, ZO progress can be represented by lightweight seed-and-scalar step logs, yet naive log-only recovery still incurs replay cost that grows with training...

Min-Qiu Sun, Xin Huang, Luan-Zheng Guo et al. · 0 citations