Efficient Privacy Preserving Logistic Regression for Horizontally Distributed Data. (arXiv:2202.02650v2 [cs.CR] UPDATED)

Internet of Things devices are expanding rapidly and generating huge amount
of data. There is an increasing need to explore data collected from these
devices. Collaborative learning provides a strategic solution for the Internet
of Things settings but also raises public concern over data privacy. In recent
years, large amount of privacy preserving techniques have been developed based
on secure multi-party computation and differential privacy. A major challenge
of collaborative learning is to balance disclosure risk and data utility while …

arxiv data distributed distributed data logistic regression privacy regression