arxiv
PublishedJuly 14, 2026 at 4:00 AM
Learning to Fine-tune Foundation Models under Resource Limitations
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arXiv:2607.10694v1 Announce Type: cross Abstract: We study the problem of optimal continual fine-tuning for a pre-trained Foundation Model deployed at a resource-limited device. At each time slot, a new batch of training data arrives, and the controller is faced with two options: either use the data
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Originally published on arxiv ↗