Forward Pass Domain Adaptation (Without Cross-Layer Backpropagation) achieves 2.7–3.2x throughput and ~40% lower peak memory for fine-tuning without backward passes; off-domain benchmarks remain within seed-noise of baseline.
Read the original at arxiv.org→arXiv:2608.14563v1 Announce Type: new Abstract: Forward-Pass-Only MLP training (FPO) adapts large language models without a backward pass through the model body, achieving 2.7--3.2x the throughput of standard...
Original headline: "Forward Pass Domain Adaptation (Without Cross-Layer Backpropagation)"
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- Aug 18, 04:00 UTC arXiv cs.LG lead source Forward Pass Domain Adaptation (Without Cross-Layer Backpropagation)