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
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
A serving system that treats the diffusion block as a compilation unit that improves end-to-end execution time by up to 2.7 times over the strongest surviving baseline under the same 8-GPU placement and remains feasible at the largest batch sizes where multiple baselines run out of memory, while preserving task quality...
Jia-Nian Zhu, Hang Wu, Ying-Hui Li et al.· 0 citations
Prism abstracts the highly dynamic diffusion workload into a predictable, static execution flow transparent to the compiler, and achieves this via three techniques: spatial regularization, temporal stabilization, and specialized kernels that selectively bypass padding data.
Jianian Zhu, Hang Wu, Yinghui Li et al.· International Conference on...· 0 citations
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