A Privacy-Preserving Federated Learning System for Android Malware Detection Based on Edge Computing.
Ruei-Hau HsuYi-Cheng WangChun-I FanBo SunTao BanTakeshi TakahashiTing-Wei WuShang-Wei KaoPublished in: AsiaJCIS (2020)
Keyphrases
- privacy preserving
- malware detection
- unsupervised learning
- privacy preserving data mining
- vertically partitioned data
- supervised learning
- privacy issues
- anomaly detection
- multi party
- machine learning
- mobile devices
- dimensionality reduction
- sensitive information
- privacy protection
- private data
- malicious executables