Studying the Robustness of Anti-adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors.
Pedro Miguel Sánchez SánchezAlberto Huertas CeldránTimo SchenkAdrian Lars Benjamin ItenGérôme BovetGregorio Martínez PérezBurkhard StillerPublished in: CoRR (2022)
Keyphrases
- learning models
- machine learning
- learning algorithm
- learning tasks
- semi supervised learning
- learning problems
- loss function
- classification models
- machine learning algorithms
- sensor networks
- learning paradigms
- conditional random fields
- real world
- supervised learning
- machine learning models
- learning experience
- graph cuts
- artificial neural networks