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

Low-Rank Adaptation (LoRA) is a widely used approach to parameter-efficient fine-tuning (PEFT), yet a performance gap can remain relative to full fine-tuning (FFT). Many LoRA variants improve the initialization or optimization of low-rank factors. At each training step, however, their first-order weight-space direction...

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

By providing recommendation services while preserving user data privacy, federated sequential recommendation (FSR) achieves great attention recently. However, FSR suffers from the severe challenge of data sparsity, where item interaction sequences of each user are typically short. The common practice to address the pro...

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