93 citations · 385 across the 72 of their papers we have counts for
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cs.LG2022★ 10 cited
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
Yue Tan, Yixin Liu, Guodong Long +3
Graph neural networks (GNNs) have shown their superiority in modeling graph data. Owing to the advantages of federated learning, federated graph learning (FGL) enables clients to t…
cs.LG2022
Decision Models for Selecting Federated Learning Architecture Patterns
Sin Kit Lo, Qinghua Lu, Hye-Young Paik +1
Federated machine learning is growing fast in academia and industries as a solution to solve data hungriness and privacy issues in machine learning. Being a widely distributed syst…
cs.LG2021★ 1 cited
FedProto: Federated Prototype Learning across Heterogeneous Clients
Yue Tan, Guodong Long, Lu Liu +4
Heterogeneity across clients in federated learning (FL) usually hinders the optimization convergence and generalization performance when the aggregation of clients' knowledge occur…