Resilient distributed hypothesis testing under time-varying multi-agent networks with multiple types of adversarial agents.
Chong-Xiao ShiGuang-Hong YangPublished in: Neurocomputing (2023)
Keyphrases
- multi agent
- hypothesis testing
- multiple types
- heterogeneous networks
- heterogeneous information networks
- multiple agents
- multi agent systems
- networked data
- co occurrence
- multi agent planning
- real world
- statistical tests
- contextual information
- multiple features
- class labels
- multi agent architecture
- social networks
- information networks
- reinforcement learning
- confidence intervals
- user interests
- classification accuracy
- learning algorithm