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…
- 01.Large language models (LLMs) have demonstrated strong capabilities across a wide range of natural language processing tasks
- 02.However, conventional fine-tuning typically relies on centralized data collection, bringing in privacy concerns
- 03.Federated learning (FL) enables…
This material is provided as an extended analytical summary.
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