Tiandi Ye

According to our database, Tiandi Ye authored at least 8 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence.

Shu Zheng, Tiandi Ye, Xiang Li, Ming Gao

CoRR, 2023

UPFL: Unsupervised Personalized Federated Learning towards New Clients.

Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao

CoRR, 2023

You Can Backdoor Personalized Federated Learning.

Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao

CoRR, 2023

Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking.

Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao

CoRR, 2023

SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking.

Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao

Proceedings of the ACM Web Conference 2023, 2023

Robust Clustered Federated Learning.

Tiandi Ye, Senhui Wei, Jamie Cui, Cen Chen, Yingnan Fu, Ming Gao

Proceedings of the Database Systems for Advanced Applications, 2023

2022

Learning to Generalize in Heterogeneous Federated Networks.

Cen Chen, Tiandi Ye, Li Wang, Ming Gao

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Practical and Light-weight Secure Aggregation for Federated Submodel Learning.

Jamie Cui, Cen Chen, Tiandi Ye, Li Wang

CoRR, 2021