2 papers
cs.CR2025
OFL: Opportunistic Federated Learning for Resource-Heterogeneous and Privacy-Aware Devices
Yunlong Mao, Mingyang Niu, Ziqin Dang +7
Efficient and secure federated learning (FL) is a critical challenge for resource-limited devices, especially mobile devices. Existing secure FL solutions commonly incur significan…
cs.LG2024
LabObf: A Label Protection Scheme for Vertical Federated Learning Through Label Obfuscation
Ying He, Mingyang Niu, Jingyu Hua +4
Split Neural Network, as one of the most common architectures used in vertical federated learning, is popular in industry due to its privacy-preserving characteristics. In this arc…