arXiv (OAI Expanded)
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Communication-Efficient LLM Adaptation over Decentralized GPU Meshes
Decentralized training enables large-model training over low-end GPUs and internet-grade connections, but communication along both data-parallel and pipeline-parallel axes becomes the primary bottleneck. We study post-pretraining adaptation in this setting. We propose an asynchronous two-circuit sys
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