Distributed additive encryption and quantization for privacy preserving federated deep learning.
Hangyu ZhuRui WangYaochu JinKaitai LiangJianting NingPublished in: Neurocomputing (2021)
Keyphrases
- privacy preserving
- deep learning
- horizontally partitioned data
- horizontally partitioned
- partitioned data
- multi party
- privacy sensitive
- distributed systems
- privacy preserving data mining
- secure multiparty computation
- unsupervised learning
- vertically partitioned data
- privacy preservation
- distributed data
- privacy preserving classification
- machine learning
- sensitive information
- privacy concerns
- private information
- data privacy
- sensitive data
- mental models
- scalar product
- weakly supervised
- preserving privacy
- supervised learning
- data model
- data analysis
- pattern recognition
- decision trees
- emerging patterns
- differential privacy