9 citations · 14 across the 5 of their papers we have counts for
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cs.AI2022★ 2 cited
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation
Kai Zhang, Yu Wang, Hongyi Wang +4
Federated learning (FL) can be essential in knowledge representation, reasoning, and data mining applications over multi-source knowledge graphs (KGs). A recent study FedE first pr…
cs.AI2021★ 9 cited
Membership Inference Attacks on Knowledge Graphs
Yu Wang, Lifu Huang, Philip S. Yu +1
Membership inference attacks (MIAs) infer whether a specific data record is used for target model training. MIAs have provoked many discussions in the information security communit…