Jinchuan Zhang

Federal Graph Contrastive Learning With Secure Cross-Device Validation

2024 · IEEE Transactions on Mobile Computing

Distributed mobile devices collect unlabeled graph data from environment. Introducing popular graph contrastive learning (GCL) methods can learn node representations better. However, training high-performance GCL requires large-scale data and graph data collected by the single …