PMKT: Privacy-preserving Multi-party Knowledge Transfer for financial market forecasting

• Main Authors: MA, Zhuoran, MA, Jianfeng, MIAO, Yinbin, CHOO, Kim-Kwang Raymond, LIU, Ximeng, WANG, Xiangyu, YANG, Tengfei
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Decision tree; Financial market forecasting; Knowledge transfer; Multi-parties; Privacy-preserving; Secure computation; Finance and Financial Management; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/5069; https://ink.library.smu.edu.sg/context/sis_research/article/6072/viewcontent/PMKT_av.pdf
• Institution: Singapore Management University

While decision-making task is critical in knowledge transfer, particularly from multi-source domains, existing knowledge transfer approaches are not generally designed to be privacy preserving. This has potential legal and financial implications, particularly in sensitive applications such as financ...