2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.DC2024
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…
math.CO2023
Toughness and spectral radius in graphs
Yuanyuan Chen, Dandan Fan, Huiqiu Lin
The Brouwer's toughness conjecture states that every -regular connected graph always has where is the second largest absolute eigenvalue of the adjacency…
cs.LG2023★ 2 cited
Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout
Yuanyuan Chen, Zichen Chen, Sheng Guo +6
Artificial intelligence (AI)-empowered industrial fault diagnostics is important in ensuring the safe operation of industrial applications. Since complex industrial systems often i…