2 papers
cs.DC2026
Nautilus: A Verifiable Hierarchical Federated Learning Framework for Vehicular-Edge-Cloud Systems
Linyang Wu, Linpeng Jia, Hanwen Zhang +2
Federated Learning (FL) enables privacy-preserving collaborative learning for Internet of Vehicles (IoV) scenarios, but extreme heterogeneity of vehicular-edge-cloud resources seve…
cs.DC2026
EchoFlow: A Workload-Aware Parameter Tuning Method for Blockchain Systems
Ben Lian, Linpeng Jia, Xing Chen +2
Blockchain systems expose a large number of tunable parameters that significantly influence system performance. However, in practice, a single parameter configuration is often appl…