AdLoCo claims faster distributed LLM training with fewer synchronization messages by adding adaptive batching, parallel model instances, and a gradient-accumulation fallback to DiLoCo.
Adaptive subgradient methods for online learning and stochastic optimization
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AdLoCo: adaptive batching significantly improves communications efficiency and convergence for Large Language Models
AdLoCo claims faster distributed LLM training with fewer synchronization messages by adding adaptive batching, parallel model instances, and a gradient-accumulation fallback to DiLoCo.