FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning.
Hong LinLidan ShouKe ChenGang ChenSai WuPublished in: Data Sci. Eng. (2024)
Keyphrases
- learning process
- learning mechanism
- learning scheme
- learning algorithm
- main contribution
- knowledge acquisition
- supervised learning
- object detectors
- anomaly detection
- reinforcement learning
- learning systems
- artificial intelligence
- concept learning
- learning scenarios
- positive and unlabeled examples
- data sets
- false alarms
- design principles
- learning analytics
- digital libraries
- false positives
- support vector
- online learning
- fuzzy logic