A Chaotic Maps-Based Privacy-Preserving Distributed Deep Learning for Incomplete and Non-IID Datasets.
Irina ArévaloJose L. SalmeronPublished in: IEEE Trans. Emerg. Top. Comput. (2024)
Keyphrases
- privacy preserving
- deep learning
- horizontally partitioned data
- horizontally partitioned
- multi party
- partitioned data
- privacy sensitive
- privacy preserving data mining
- privacy preservation
- chaotic maps
- unsupervised learning
- distributed systems
- secure multiparty computation
- vertically partitioned data
- sensitive data
- machine learning
- sensitive information
- privacy protection
- data sets
- weakly supervised
- mental models
- data privacy
- image encryption
- peer to peer
- data mining
- distributed environment
- high dimensional data
- encryption algorithm
- access control
- knowledge discovery
- pairwise
- digital libraries
- metadata