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pro vyhledávání: '"Tang, Bisheng"'
Subgraph federated learning (SFL) is a research methodology that has gained significant attention for its potential to handle distributed graph-structured data. In SFL, the local model comprises graph neural networks (GNNs) with a partial graph struc
Externí odkaz:
http://arxiv.org/abs/2406.12435
Federated learning (FL), which aims to facilitate data collaboration across multiple organizations without exposing data privacy, encounters potential security risks. One serious threat is backdoor attacks, where an attacker injects a specific trigge
Externí odkaz:
http://arxiv.org/abs/2306.10746
Publikováno v:
In Neural Networks November 2023 168:339-349
