Preprint
Aug 2026
ZeroLock: Concurrent Memory-Efficient LLM Training via Modular Update Decoupling
This work proposes a BP-free algorithm, called ZeroLock, that decouples the model updates into independent chunk updates by local objective construction and provides the first theoretical framework for such local objective construction-based approaches under general model chunk division by mapping local objectives to the global objective.
Wentao Dai, Xuanran Li, Yuxiang Zhang et al.
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