Author

Ramy E. Ali

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Preprint Aug 2026

FedPA-LoRA: Product-Aligned Framework for Mitigating Aggregation and Initialization Errors in Heterogeneous Federated LoRA

FedPA-LoRA is proposed, a product-aligned federated LoRA framework that jointly addresses limitations and provably converges under both homogeneous and heterogeneous client ranks, with up to a $6.82$ percentage-point improvement in average GLUE accuracy under heterogeneous client ranks.

Juseok Jeon, Ramy E. Ali, Doyun Kwon et al. · 1 citation