Distributed Additive Encryption and Quantization for Privacy Preserving Federated Deep Learning.
Hangyu ZhuRui WangYaochu JinKaitai LiangJianting NingPublished in: CoRR (2020)
Keyphrases
- privacy preserving
- deep learning
- horizontally partitioned data
- horizontally partitioned
- multi party
- partitioned data
- privacy sensitive
- privacy preserving data mining
- distributed systems
- privacy preservation
- vertically partitioned data
- secure multiparty computation
- privacy preserving classification
- unsupervised learning
- distributed data
- sensitive information
- scalar product
- data privacy
- privacy concerns
- privacy protection
- private information
- machine learning
- differential privacy
- preserving privacy
- mental models
- weakly supervised
- sensitive data
- encryption scheme
- communication cost
- pattern recognition
- decision trees