Federated learning allows multiple parties to build machine models collaboratively without exposing data. In particular, vertical federated (VFL) enables participating a joint model based upon distributed features of aligned samples. However, VFL requires all share sufficient amount reality, the set samples may be small, leaving majority non-aligned data unused. this article, we propose Cross-v...

Remaining useful life prediction can assess the time to failure of degradation systems. Currently, numerous neural network-based methods have been proposed by researchers. However, most work contains an implicit prerequisite: network training and testing data same operating conditions. To solve this problem, adversarial discriminative domain adaption method based on is improve accuracy cross-do...