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

This story is from 2026-09-15. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.13580v1 Announce Type: new Abstract: 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 lea…

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  1. 2026-09-15 04:00 · arXiv cs.AI
    FLoKD: Adaptive Knowledge Distillation for Federated Low-Rank LLM over Wireless Networks

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