Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence.
Xiang BaiHanchen WangLiya MaYongchao XuJiefeng GanZiwei FanFan YangKe MaJiehua YangSong BaiChang ShuXinyu ZouRenhao HuangChangzheng ZhangXiaowu LiuDandan TuChuou XuWenqing ZhangXi WangAnguo ChenYu ZengDehua YangMing-Wei WangNagaraj HolalkereNeil J. HalinIhab R. KamelJia WuXuehua PengXiang WangJianbo ShaoPattanasak MongkolwatJianjun ZhangWeiyang LiuMichael RobertsZhongzhao TengLucian BeerLorena Escudero SanchezEvis SalaDaniel L. RubinAdrian WellerJoan LasenbyChuangsheng ZhengJianming WangZhen LiCarola-Bibiane SchönliebTian XiaPublished in: CoRR (2021)
Keyphrases
- privacy preserving
- artificial intelligence
- privacy preserving data mining
- vertically partitioned data
- privacy preservation
- multi party
- private information
- privacy concerns
- data privacy
- privacy protection
- record linkage
- private data
- preserving privacy
- secure multiparty computation
- information sharing
- horizontally partitioned data
- privacy sensitive
- sensitive information
- privacy issues
- partitioned data
- privacy preserving data mining algorithms
- privacy preserving association rule mining
- horizontally partitioned
- social media
- privacy guarantees
- access control
- databases
- sensitive data