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arXiv — cs.AI

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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…

arXiv — cs.AIBy: Xinlu Zhang, Na Yan, Yang Su, Yansha Deng, Toktam MahmoodiSeptember 15, 2026 (Sep 15)
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AI Summary & Key Takeaways

  • 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…
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FLoKD: Adaptive Knowledge Distillation for Federated Low-Rank LLM over Wireless Networks

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