Practical and Light-weight Secure Aggregation for Federated Submodel Learning. - Jamie Cui; Cen Chen 001; Tiandi Ye; Li Wang 057 (CoRR, 2021)

Learning to Generalize in Heterogeneous Federated Networks. - Cen Chen 001; Tiandi Ye; Li Wang 056; Ming Gao 001 (CIKM, 2022)

Robust Clustered Federated Learning. - Tiandi Ye; Senhui Wei; Jamie Cui; Cen Chen 001; Yingnan Fu; Ming Gao 001 (DASFAA (1), 2023)

SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking. - Xiang Li 067; Tiandi Ye; Caihua Shan; Dongsheng Li 002; Ming Gao 001 (WWW, 2023)

Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking. - Xiang Li 067; Tiandi Ye; Caihua Shan; Dongsheng Li 002; Ming Gao 001 (CoRR, 2023)

You Can Backdoor Personalized Federated Learning. - Tiandi Ye; Cen Chen 001; Yinggui Wang; Xiang Li 067; Ming Gao 001 (CoRR, 2023)

Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence. - Shu Zheng; Tiandi Ye; Xiang Li 067; Ming Gao 001 (ICASSP, 2024)

UPFL: Unsupervised Personalized Federated Learning towards New Clients. - Tiandi Ye; Cen Chen 001; Yinggui Wang; Xiang Li 067; Ming Gao 001 (SDM, 2024)

OPa-Ma: Text Guided Mamba for 360-degree Image Out-painting. - Penglei Gao; Kai Yao; Tiandi Ye; Steven Wang; Yuan Yao; Xiaofeng Wang (CoRR, 2024)

BapFL: You can Backdoor Personalized Federated Learning. - Tiandi Ye; Cen Chen 001; Yinggui Wang; Xiang Li 067; Ming Gao 001 (ACM Trans. Knowl. Discov. Data, 2024)

ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression. - Kai Yao; Zhaorui Tan; Tiandi Ye; Lichun Li; Yuan Zhao; Wenyan Liu; Wei Wang 002; Jianke Zhu (AAAI, 2025)