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: Eng. Appl. Artif. Intell. (2021)
Keyphrases
- learning systems
- future directions
- security concerns
- lessons learned
- security issues
- security and privacy issues
- current challenges
- privacy issues
- security threats
- open questions
- statistical databases
- security policies
- security requirements
- sensitive data
- advanced technologies
- information security
- security problems
- learning materials
- security mechanisms
- learning process
- data security
- data privacy
- computer supported
- personal data
- security risks
- machine learning
- privacy preserving
- learning environment
- current status
- adaptive systems
- learning resources
- privacy concerns
- current trends
- privacy preserving data mining
- access control
- trust relationships
- cloud computing
- identity management
- learning styles
- digital libraries
- sensitive information
- case study
- privacy protection
- rfid systems
- private information
- biometric template
- real world
- authentication protocol
- personal information
- electronic payment
- outsourced databases
- machine learning systems
- intrusion detection
- smart card