Toward Efficient and End-to-End Privacy-Preserving Distributed Gradient Boosting Decision Trees.
Shuai YuanHongwei LiXinyuan QianMeng HaoYixiao ZhaiXiaolong CuiPublished in: ICC (2023)
Keyphrases
- end to end
- privacy preserving
- decision trees
- horizontally partitioned data
- multi party
- partitioned data
- gradient boosting
- horizontally partitioned
- privacy preservation
- privacy preserving data mining
- private information
- privacy sensitive
- vertically partitioned data
- sensitive information
- distributed systems
- record linkage
- data privacy
- secure multiparty computation
- training data
- privacy concerns