Achieving Security and Privacy in Federated Learning Systems: Survey, Research Challenges and Future Directions.
Alberto Blanco-JusticiaJosep Domingo-FerrerSergio MartínezDavid SánchezAdrian FlanaganKuan Eeik TanPublished in: CoRR (2020)
Keyphrases
- learning systems
- future directions
- security concerns
- lessons learned
- security issues
- security and privacy issues
- current challenges
- open questions
- privacy issues
- security requirements
- statistical databases
- security problems
- security threats
- learning process
- data security
- security policies
- information security
- security mechanisms
- machine learning
- advanced technologies
- learning materials
- learning environment
- learning resources
- data privacy
- personal data
- computer supported
- sensitive data
- privacy preserving
- adaptive systems
- current status
- privacy concerns
- learning styles
- current trends
- access control
- electronic payment
- identity management
- rfid systems
- digital libraries
- biometric template
- personal information
- privacy preserving data mining
- trust relationships
- statistical machine learning
- outsourced databases
- technology enhanced learning systems
- security risks
- case study
- utmost importance
- machine learning systems
- learning mechanisms
- rfid tags
- private information
- smart card
- intrusion detection
- online learning
- artificial intelligence