Jiahao Liu

According to our database, Jiahao Liu authored at least 7 papers between 2022 and 2025.

Collaborative distances:

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

2025

CODP: Improving Differentially Private Federated Learning by Cascading and Offsetting Noises Between Iterations.

Runze Wang, Yipeng Zhou, Jiahao Liu, Xuezheng Liu, Miao Hu, Di Wu, Quan Z. Sheng, Song Guo

IEEE Trans. Dependable Secur. Comput., 2025

Local Differentially Private Release of Infinite Streams With Temporal Relevance.

Runze Wang, Jiahao Liu, Miao Hu, Yipeng Zhou, Di Wu

Proceedings of the ACM on Web Conference 2025, 2025

2024

Exploring the Practicality of Differentially Private Federated Learning: A Local Iteration Tuning Approach.

Yipeng Zhou, Runze Wang, Jiahao Liu, Di Wu, Shui Yu, Yonggang Wen

IEEE Trans. Dependable Secur. Comput., 2024

FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees.

Jiahao Liu, Yipeng Zhou, Di Wu, Miao Hu, Mohsen Guizani, Quan Z. Sheng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

FedDWA: Personalized Federated Learning with Online Weight Adjustment.

Jiahao Liu, Jiang Wu, Jinyu Chen, Miao Hu, Yipeng Zhou, Di Wu

CoRR, 2023

FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment.

Jiahao Liu, Jiang Wu, Jinyu Chen, Miao Hu, Yipeng Zhou, Di Wu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

DPFed: Toward Fair Personalized Federated Learning with Fast Convergence.

Jiang Wu, Xuezheng Liu, Jiahao Liu, Miao Hu, Di Wu

Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022