Data-Agnostic Model Poisoning Against Federated Learning: A Graph Autoencoder Approach.
Kai LiJingjing ZhengXin YuanWei NiÖzgür B. AkanH. Vincent PoorPublished in: IEEE Trans. Inf. Forensics Secur. (2024)
Keyphrases
- prior knowledge
- experimental data
- probability distribution
- graph representation
- learning models
- hidden variables
- data sources
- learning algorithm
- learned models
- computational model
- unsupervised learning
- test data
- input data
- accurate models
- background knowledge
- data collection
- bipartite graph
- latent variables
- sensory data
- machine learning
- measured data
- knowledge discovery
- data points
- artificial neural networks
- data analysis
- data sets
- missing data
- em algorithm
- learning process
- training data
- similarity measure