Breaking the Structural Identity: Personalized Federated LoRA Fine-tuning under Rank Heterogeneity
FedRoRA (Federated Rank-wise Personalized LoRA) is proposed, a novel framework that enables fine-grained personalization within rank-heterogeneous federations and consistently outperforms state-of-the-art methods.
Lei Wang, Jieming Bian, Letian Zhang et al.
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