Tolerating Adversarial Attacks and Byzantine Faults in Distributed Machine Learning.
Yusen WuHao ChenXin WangChao LiuPhuong NguyenYelena YeshaPublished in: CoRR (2021)
Keyphrases
- machine learning
- fault tolerant
- multi agent
- distributed systems
- network anomaly detection
- cooperative
- learning algorithm
- distributed environment
- machine learning methods
- machine learning algorithms
- text classification
- mobile agents
- text mining
- decision trees
- computational intelligence
- data mining
- communication cost
- natural language processing
- fault diagnosis
- knowledge representation
- feature selection
- watermarking algorithm
- computing environments
- computer networks
- artificial intelligence
- pattern recognition
- learning systems
- support vector machine
- knowledge acquisition
- computer vision
- peer to peer
- information extraction