1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2023★ 1 cited
FedMKGC: Privacy-Preserving Federated Multilingual Knowledge Graph Completion
Wei Tang, Zhiqian Wu, Yixin Cao +2
Knowledge graph completion (KGC) aims to predict missing facts in knowledge graphs (KGs), which is crucial as modern KGs remain largely incomplete. While training KGC models on mul…
cs.LG2023
Mitigating Backdoors in Federated Learning with FLD
Yihang Lin, Pengyuan Zhou, Zhiqian Wu +1
Federated learning allows clients to collaboratively train a global model without uploading raw data for privacy preservation. This feature, i.e., the inability to review participa…