An edge split-learning framework with the CARD algorithm dynamically chooses the cut layer and server GPU frequency to trade off LLM fine-tuning delay against server energy.
Large language model-based wireless network design,
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Energy-Efficient Split Learning for Fine-Tuning Large Language Models in Edge Networks
An edge split-learning framework with the CARD algorithm dynamically chooses the cut layer and server GPU frequency to trade off LLM fine-tuning delay against server energy.