A priority-aware learning-unlearning framework with orthogonal LoRA enables robust correction for device join/leave events in dynamic decentralized federated LLM fine-tuning.
Decentralized low-rank fine-tuning of large language models,
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Priority-Aware Learning-Unlearning Correction for Dynamic Decentralized LoRA Fine-Tuning
A priority-aware learning-unlearning framework with orthogonal LoRA enables robust correction for device join/leave events in dynamic decentralized federated LLM fine-tuning.