A novel federated multi-view clustering method for unaligned and incomplete data fusion

Yazhou Ren, Xinyue Chen, Jie Xu, Jingyu Pu, Yonghao Huang, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu, Zhifeng Hao, Lifang He

Abstract: Highlights•Introduction of the novel FedMVC method to tackle unaligned and incomplete data.•Deployment of a robust data fusion strategy, aimed at extracting cluster structures.•Comprehensive evaluation of our proposed methodology under various scenarios.