Author

Yi-Chen Li

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#artificial intelligence Preprint Sep 2026

Beyond Low-Rank Parameterization: Narrowing the Gap Between LoRA and Full Fine-Tuning via Gradient Decomposition

Experiments show that GDLoRA consistently improves over LoRA and narrows the performance gap to FFT, and incorporates complementary normal gradients without increasing standard LoRA's optimizer-state memory budget under matched adapter and optimizer configurations.

Yi Ouyang, Shi-Wei Li, Hao-Zhao Wang et al. · 0 citations

Book Open access Aug 2026

Take a Further Step Beyond Data Augmentation: Augmented Knowledge Purification for Federated Recommendation

This paper proposes FR-AKP, which performs the augmented knowledge purification on the basis of data augmentation at both the intra-client and inter-client levels, and significantly outperforms state-of-the-art methods.

Yijing Shan, Hao-Zhao Wang, Yi-Chen Li et al. · Proceedings of the 32nd ACM... · 0 citations