2 papers
stat.ME2026
Byzantine-tolerant distributed learning of finite mixture models
Qiong Zhang, Yan Shuo Tan, Jiahua Chen
Traditional statistical methods need to be updated to work with modern distributed data storage paradigms. A common approach is the split-and-conquer framework, which involves lear…
cs.CV2025
Gaussian Herding across Pens: An Optimal Transport Perspective on Global Gaussian Reduction for 3DGS
Tao Wang, Mengyu Li, Geduo Zeng +2
3D Gaussian Splatting (3DGS) has emerged as a powerful technique for radiance field rendering, but it typically requires millions of redundant Gaussian primitives, overwhelming mem…