2 papers
cs.DB2026
Crane: An Accurate and Scalable Neural Sketch for Graph Stream Summarization
Boyan Wang, Zhuochen Fan, Dayu Wang +5
Graph streams are rapidly evolving sequences of edges that convey continuously changing relationships among entities, playing a crucial role in domains such as networking, finance,…
cs.LG2025
FedORGP: Guiding Heterogeneous Federated Learning with Orthogonality Regularization on Global Prototypes
Fucheng Guo, Zeyu Luan, Qing Li +2
Federated Learning (FL) has emerged as an essential framework for distributed machine learning, especially with its potential for privacy-preserving data processing. However, exist…