A chaotic maps-based privacy-preserving distributed deep learning for incomplete and Non-IID datasets.
Irina ArévaloJose L. SalmeronPublished in: CoRR (2024)
Keyphrases
- privacy preserving
- deep learning
- horizontally partitioned data
- horizontally partitioned
- multi party
- partitioned data
- privacy sensitive
- privacy preserving data mining
- chaotic maps
- privacy preservation
- secure multiparty computation
- unsupervised learning
- vertically partitioned data
- distributed systems
- machine learning
- sensitive information
- privacy protection
- image encryption
- weakly supervised
- lightweight
- image encryption algorithm
- mental models
- differential privacy
- data sets
- sensitive data
- data privacy
- distributed environment
- data mining