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FLoKD: Adaptive Knowledge Distillation for Federated Low-Rank LLM over Wireless Networks
Large language models (LLMs) have demonstrated strong capabilities across a wide range of natural language processing tasks. However, conventional fine-tuning typically relies on centralized data collection, bringing in privacy concerns. Federated learning (FL) enables collaborative LLM fine-tuning
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