Federated Graph Learning with Adaptive Importance-based Sampling

Anran Li, Yuanyuan Chen, Chao Ren +5

For privacy-preserving graph learning tasks involving distributed graph datasets, federated learning (FL)-based GCN (FedGCN) training is required. A key challenge for FedGCN is sca…