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wireless-networks

topic1 events
papersTODAY 04:00 UTC

FLoKD: Federated Low-Rank LLM Distillation Over Wireless Networks

A new arXiv paper introduces FLoKD, a method for fine-tuning large language models across wireless networks without centralizing user data. It combines federated learning with low-rank adaptation and adaptive knowledge distillation to reduce communication and computation costs. The approach targets privacy-preserving deployment of LLMs in distributed, bandwidth-limited settings.

federated-learning/llm-fine-tuning/knowledge-distillation/privacy