Dun Zeng

According to our database, Dun Zeng authored at least 15 papers between 2021 and 2024.

Collaborative distances:

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

2024

Topology Learning for Heterogeneous Decentralized Federated Learning Over Unreliable D2D Networks.

Zheshun Wu, Zenglin Xu, Dun Zeng, Junfan Li, Jie Liu

IEEE Trans. Veh. Technol., August, 2024

On Diversified Preferences of Large Language Model Alignment.

Dun Zeng, Yong Dai, Pengyu Cheng, Longyue Wang, Tianhao Hu, Wanshun Chen, Nan Du, Zenglin Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

FedLab: A Flexible Federated Learning Framework.

Dun Zeng, Siqi Liang, Xiangjing Hu, Hui Wang, Zenglin Xu

J. Mach. Learn. Res., 2023

On Diversified Preferences of Large Language Model Alignment.

Dun Zeng, Yong Dai, Pengyu Cheng, Tianhao Hu, Wanshun Chen, Nan Du, Zenglin Xu

CoRR, 2023

Federated Generalization via Information-Theoretic Distribution Diversification.

Zheshun Wu, Zenglin Xu, Dun Zeng, Qifan Wang

CoRR, 2023

Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization.

Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang

CoRR, 2023

Exploring Federated Optimization by Reducing Variance of Adaptive Unbiased Client Sampling.

Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang

CoRR, 2023

Personalized Federated Learning via Amortized Bayesian Meta-Learning.

Shiyu Liu, Shaogao Lv, Dun Zeng, Zenglin Xu, Hui Wang, Yue Yu

CoRR, 2023

FedNoisy: Federated Noisy Label Learning Benchmark.

Siqi Liang, Jintao Huang, Dun Zeng, Junyuan Hong, Jiayu Zhou, Zenglin Xu

CoRR, 2023

Stochastic Clustered Federated Learning.

Dun Zeng, Xiangjing Hu, Shiyu Liu, Yue Yu, Qifan Wang, Zenglin Xu

CoRR, 2023

A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy.

Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Flexible Contribution Estimation Methods for Horizontal Federated Learning.

Xiangjing Hu, Congjian Luo, Dun Zeng, Zenglin Xu, Ping Guo, Irwin King

Proceedings of the International Joint Conference on Neural Networks, 2023

Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization.

Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Aggregating Gradients in Encoded Domain for Federated Learning.

Dun Zeng, Shiyu Liu, Zenglin Xu

CoRR, 2022

2021

FedLab: A Flexible Federated Learning Framework.

Dun Zeng, Siqi Liang, Xiangjing Hu, Zenglin Xu

CoRR, 2021