Federated vs. Centralized Machine Learning under Privacy-elastic Users: A Comparative Analysis.
Georgios DrainakisKonstantinos V. KatsarosPanagiotis PantazopoulosVasilis SourlasAngelos AmditisPublished in: NCA (2020)
Keyphrases
- machine learning
- personal data
- end users
- user interaction
- privacy concerns
- user interface
- learning algorithm
- personal information
- machine learning methods
- natural language processing
- text mining
- privacy preservation
- peer to peer
- security risks
- social network sites
- recommender systems
- social awareness
- user queries
- trust relationships
- trusted third party
- data privacy
- user centric
- social networks
- distributed environment
- data analysis
- privacy preserving
- machine learning algorithms
- data mining
- information sources
- support vector machine
- decision trees
- social media
- active learning
- computer science