摘要
1 Introduction and main contributions In data-driven applications,such as location based services(LBSs),disease surveillance and social networks,etc.,information fusion is necessary for data owners to obtain better services.But the aggregated data may contain individuaFs sensi-tive information.Therefore,privacy preserving data fusion has become a substantial issue in data aggregating and mining[1,2].
基金
This work was supported in part by the National Natural Science Foundation of China(Grant No.42001398)
Natural Science Foundation of Chongqing(cstc2020jcyj-msxmX0635)
China Postdoctoral Science Foundation funded project(2021M693929)
Science and Technology Research Project of CEC(KJQN201900612)
Open Fund of LIESMARS(20S02)
PhD Starts Fund of CQUPT(A2019-302)
SRTP of CQUPT(A2019-175,A2020-106).
