2 papers
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.NI2025
Mobility-Aware Multi-Task Decentralized Federated Learning for Vehicular Networks: Modeling, Analysis, and Optimization
Dongyu Chen, Tao Deng, He Huang +4
Federated learning (FL) is a promising paradigm that can enable collaborative model training between vehicles while protecting data privacy, thereby significantly improving the per…