Zhida Jiang

According to our database, Zhida Jiang authored at least 14 papers between 2021 and 2024.

Collaborative distances:

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

2024

Overcoming Noisy Labels and Non-IID Data in Edge Federated Learning.

Yang Xu, Yunming Liao, Lun Wang, Hongli Xu, Zhida Jiang, Wuyang Zhang

IEEE Trans. Mob. Comput., December, 2024

Semi-Supervised Decentralized Machine Learning With Device-to-Device Cooperation.

Zhida Jiang, Yang Xu, Hongli Xu, Zhiyuan Wang, Jianchun Liu, Chunming Qiao

IEEE Trans. Mob. Comput., October, 2024

Federated Learning With Client Selection and Gradient Compression in Heterogeneous Edge Systems.

Yang Xu, Zhida Jiang, Hongli Xu, Zhiyuan Wang, Chen Qian, Chunming Qiao

IEEE Trans. Mob. Comput., May, 2024

BOSE: Block-Wise Federated Learning in Heterogeneous Edge Computing.

Lun Wang, Yang Xu, Hongli Xu, Zhida Jiang, Min Chen, Wuyang Zhang, Chen Qian

IEEE/ACM Trans. Netw., April, 2024

Computation and Communication Efficient Federated Learning With Adaptive Model Pruning.

Zhida Jiang, Yang Xu, Hongli Xu, Zhiyuan Wang, Jianchun Liu, Chen Qian, Chunming Qiao

IEEE Trans. Mob. Comput., March, 2024

FAST: Enhancing Federated Learning Through Adaptive Data Sampling and Local Training.

Zhiyuan Wang, Hongli Xu, Yang Xu, Zhida Jiang, Jianchun Liu, Suo Chen

IEEE Trans. Parallel Distributed Syst., February, 2024

Decentralized Federated Learning With Intermediate Results in Mobile Edge Computing.

Suo Chen, Yang Xu, Hongli Xu, Zhida Jiang, Chunming Qiao

IEEE Trans. Mob. Comput., January, 2024

Clients Help Clients: Alternating Collaboration for Semi-Supervised Federated Learning.

Zhida Jiang, Yang Xu, Hongli Xu, Zhiyuan Wang, Chunming Qiao

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Joint Model Pruning and Topology Construction for Accelerating Decentralized Machine Learning.

Zhida Jiang, Yang Xu, Hongli Xu, Lun Wang, Chunming Qiao, Liusheng Huang

IEEE Trans. Parallel Distributed Syst., October, 2023

CoopFL: Accelerating federated learning with DNN partitioning and offloading in heterogeneous edge computing.

Zhiyuan Wang, Hongli Xu, Yang Xu, Zhida Jiang, Jianchun Liu

Comput. Networks, 2023

Heterogeneity-Aware Federated Learning with Adaptive Client Selection and Gradient Compression.

Zhida Jiang, Yang Xu, Hongli Xu, Zhiyuan Wang, Chen Qian

Proceedings of the IEEE INFOCOM 2023, 2023

2022

Adaptive Control of Client Selection and Gradient Compression for Efficient Federated Learning.

Zhida Jiang, Yang Xu, Hongli Xu, Zhiyuan Wang, Chen Qian

CoRR, 2022

FedMP: Federated Learning through Adaptive Model Pruning in Heterogeneous Edge Computing.

Zhida Jiang, Yang Xu, Hongli Xu, Zhiyuan Wang, Chunming Qiao, Yangming Zhao

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

FedSA: A Semi-Asynchronous Federated Learning Mechanism in Heterogeneous Edge Computing.

Qianpiao Ma, Yang Xu, Hongli Xu, Zhida Jiang, Liusheng Huang, He Huang

IEEE J. Sel. Areas Commun., 2021