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Found 3 papers, 2 papers with code
Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective
Existing approaches defend against backdoor attacks in federated learning (FL) mainly through a) mitigating the impact of infected models, or b) excluding infected models.
Advancing Federated Learning in 6G: A Trusted Architecture with Graph-based Analysis
Second, given the distributed nature and graph structure between clients and nodes in the pre-processing layer, GNN is leveraged to identify abnormal local models, enhancing system security.
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey
Ubiquitous sensors and smart devices from factories and communities are generating massive amounts of data, and ever-increasing computing power is driving the core of computation and services from the cloud to the edge of the network.
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