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cs.DC2026
SI-ChainFL: Shapley-Incentivized Secure Federated Learning for High-Speed Rail Data Sharing
Mingjie Zhao, Cheng Dai, Fei Chen +4
In high-speed rail (HSR) systems, federated learning (FL) enables cross-departmental flow prediction without sharing raw data. However, existing schemes suffer from two key limitat…
cs.LG2026
HoGS: Homophily-Oriented Graph Synthesis for Local Differentially Private GNN Training
Wen Xu, Zhetao Li, Yong Xiao +3
Graph neural networks (GNNs) have demonstrated remarkable performance in various graph-based machine learning tasks by effectively modeling high-order interactions between nodes. H…