Delta compression is a crucial technique in cloud storage systems that reduces storage overhead by identifying matching byte sequences across data chunks. A key challenge in delta compression is similarity detection, i.e., determining whether two chunks are sufficiently similar to be compressed with a delta. Existing s...
Zhen-Yu Cai, Xu-Ming Ye, Wen-Long Tian et al.· Proceedings of the Internati...· 0 citations
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
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
Multi-agent systems (MAS) are enabling increasingly complex, collaborative applications in autonomous driving, smart logistics, robotic coordination, and distributed sensing. Their effectiveness depends on collective intelligence emerging from multiple distributed agents, each operating with partial information and oft...
Haozhao Wang, Zhuangdi Zhu, Zheng Xu et al.· Proceedings of the 32nd ACM...· 0 citations
A novel method named IED is proposed, which leverages the information gain to construct the vector of which each dimension represents the information entropy of each word, and then adopts a classifier to conduct the detection.
Xiao-Quan Yi, Hao-Zhao Wang, Jing-Cai Guo· Proceedings of the Thirty-Fi...· 0 citations
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