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News/AutoEncoder-Compressed Parallel Split Learning for Pre-trained Model Fine-Tuning
arxiv
PublishedJuly 21, 2026 at 4:00 AM

AutoEncoder-Compressed Parallel Split Learning for Pre-trained Model Fine-Tuning

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Publisher summary· verbatim

arXiv:2607.17913v1 Announce Type: cross Abstract: Distributed Fine-Tuning (DFT) of large-scale Foundation Models (FMs) on resource-constrained edge devices is limited by local compute constraints and communication overhead. Parallel Split Learning (PSL) reduces client-side computation by keeping few

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