CheckFree recovers intermediate stage failures in pipeline-parallel LLM training via neighbor averaging; CheckFree+ adds out-of-order execution to handle first/last stages by copying neighbors, with small embedding storage, outperforming checkpointing and redundancy at 5-10% failure rates by up to
neurips.cc/paper/2020/hash/25ddc0f8c9d3e22e03d3076f98d83cb2-Abstract.html
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.DC 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
All is Not Lost: LLM Recovery without Checkpoints
CheckFree recovers intermediate stage failures in pipeline-parallel LLM training via neighbor averaging; CheckFree+ adds out-of-order execution to handle first/last stages by copying neighbors, with small embedding storage, outperforming checkpointing and redundancy at 5-10% failure rates by up to