arXiv AI By Pengyu He, Yan Zhang, Ruien Li, Guangwen Yang

AutoLoCo: Communication Efficient Distributed LLM Training via Adaptive Synchronization

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arXiv Machine Learning
Jul 3

SCAPE: Accurate and Efficient LLM Training with Extreme Sparse Communication

arXiv:2607. 01678v1 Announce Type: new Abstract: Communication increasingly dominates the cost of Large Language Model (LLM) pre-training, especially under data-parallel and sharded training schemes, where gradient synchronization and parameter reconstruction overhead increase with model size and system scale.

By Mingkai Zheng, Junlin Chen, Haotian Xie, Zhao Zhang
arXiv AI
Jul 7

Can Model Merging Improve Aggregation in DiLoCo?

arXiv:2607. 03011v1 Announce Type: cross Abstract: Model merging techniques, which aggregate independently finetuned models into one to combine their capabilities, have become a topic of significant interest in recent years, with a broad array of methods having been proposed to tackle this problem.

By Stefan Horoi, Benjamin Th\'erien, Guy Wolf, Eugene Belilovsky