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ResBM: a new transformer-based architecture for low-bandwidth pipeline-parallel training, achieving 128× activation compression [R]

Via r/MachineLearning
Thursday, Apr 16, 2026 · 3:08PM
Summary

Macrocosmos has released a paper on ResBM (Residual Bottleneck Models), a new transformer-based architecture designed for low-bandwidth pipeline-parallel training. https://arxiv.org/abs/2604.11947 ResBM introduces a residual encoder-decoder bottleneck across pipeline boundaries, with the goal of red

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