FedMM: Federated Multi-Modal Learning with Modality Heterogeneity in Computational Pathology

no code implementations • 24 Feb 2024 • Yuanzhe Peng, Jieming Bian, Jie Xu

The fusion of complementary multimodal information is crucial in computational pathology for accurate diagnostics.

Federated Learning Privacy Preserving

Contemporary Recommendation Systems on Big Data and Their Applications: A Survey

no code implementations • 31 May 2022 • Ziyuan Xia, Anchen Sun, Jingyi Xu, Yuanzhe Peng, Rui Ma, Minghui Cheng

This survey paper conducts a comprehensive analysis of the evolution and contemporary landscape of recommendation systems, which have been extensively incorporated across a myriad of web applications.

Collaborative Filtering Recommendation Systems