AI RESEARCH
Towards Large Model Feature Coding
arXiv CS.LG
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ArXi:2605.24025v1 Announce Type: cross Large models have delivered remarkable performance across a wide range of perception and generation tasks, yet practical deployment is increasingly constrained by computational and memory budgets, as well as privacy requirements. Split execution alleviates these constraints by partitioning computation across devices, but it inevitably