The advent of novel applications such as smart city infrastructure and large-language models training is driven by the proliferation of big data. This workshop aims to study a comprehensive framework that seamlessly integrates scalable big data fusion and computing engines with privacy-preserving techniques and cryptographic methods. Systems are to process massive and heterogeneous datasets while enforcing strict privacy constraints, enabling secure analysis and collaboration on sensitive information.

Jianqiu Xu (Nanjing University of Aeronautics and Astronautics, China)

This workshop provides a unique forum for in-depth discussion. We welcome submissions that are aligned with the workshop's thematic. Papers, consisting of only a paper title and an abstract, should be sent to jianqiu@nuaa.edu.cn. Please note that accepted papers are for presentation and discussion only and will not be included in the official conference proceedings.