Data-Agnostic Model Poisoning against Federated Learning: A Graph Autoencoder Approach.
Kai LiJingjing ZhengXin YuanWei NiÖzgür B. AkanH. Vincent PoorPublished in: CoRR (2023)
Keyphrases
- prior knowledge
- learning models
- graph representation
- probability distribution
- learning scheme
- experimental data
- data collection
- measured data
- digital libraries
- accurate models
- input data
- data points
- data sources
- learned models
- learning process
- data sets
- knowledge discovery
- data structure
- database
- background knowledge
- missing data
- sensory data
- distributed data
- dependency graph
- hidden variables
- reinforcement learning
- neural network
- data objects
- bayesian methods
- learning tasks
- generative model
- website
- e learning
- learning algorithm
- graph representations
- structural learning