Jieming Bian

According to our database, Jieming Bian authored at least 26 papers between 2021 and 2026.

Collaborative distances:

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

2026

FedTreeLoRA: Reconciling Statistical and Functional Heterogeneity in Federated LoRA Fine-Tuning.

Jieming Bian, Lei Wang, Letian Zhang, Jie Xu

CoRR, March, 2026

FedALT: Federated Fine-Tuning Through Adaptive Local Training with Rest-of-World LoRA.

Jieming Bian, Lei Wang, Letian Zhang, Jie Xu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

FedEL: Federated Elastic Learning for Heterogeneous Devices.

Letian Zhang, Bo Chen, Jieming Bian, Lei Wang, Jie Xu

CoRR, September, 2025

Adaptive LoRA Experts Allocation and Selection for Federated Fine-Tuning.

Lei Wang, Jieming Bian, Letian Zhang, Jie Xu

CoRR, September, 2025

Indirect-Communication Federated Learning via Mobile Transporters.

Jieming Bian, Cong Shen, Mingzhe Chen, Jie Xu

IEEE Trans. Mob. Comput., June, 2025

Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms.

Yuanzhe Peng, Jieming Bian, Lei Wang, Yin Huang, Jie Xu

CoRR, May, 2025

A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning.

Jieming Bian, Yuanzhe Peng, Lei Wang, Yin Huang, Jie Xu

CoRR, April, 2025

LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement.

Jieming Bian, Lei Wang, Letian Zhang, Jie Xu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Hybrid Federated Learning for Multimodal IoT Systems.

Yuanzhe Peng, Yusen Wu, Jieming Bian, Jie Xu

IEEE Internet Things J., November, 2024

Accelerating Asynchronous Federated Learning Convergence via Opportunistic Mobile Relaying.

Jieming Bian, Jie Xu

IEEE Trans. Veh. Technol., July, 2024

On the Local Cache Update Rules in Streaming Federated Learning.

Heqiang Wang, Jieming Bian, Jie Xu

IEEE Internet Things J., March, 2024

Accelerating Hybrid Federated Learning Convergence Under Partial Participation.

Jieming Bian, Lei Wang, Kun Yang, Cong Shen, Jie Xu

IEEE Trans. Signal Process., 2024

Prioritizing Modalities: Flexible Importance Scheduling in Federated Multimodal Learning.

Jieming Bian, Lei Wang, Jie Xu

CoRR, 2024

Computation and Communication Efficient Lightweighting Vertical Federated Learning.

Heqiang Wang, Jieming Bian, Lei Wang

CoRR, 2024

Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains.

Lei Wang, Jieming Bian, Letian Zhang, Chen Chen, Jie Xu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Adaptive User-Centric Entanglement Routing in Quantum Data Networks.

Lei Wang, Jieming Bian, Jie Xu

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

Federated Learning with Instance-Dependent Noisy Label.

Lei Wang, Jieming Bian, Jie Xu

Proceedings of the IEEE International Conference on Acoustics, 2024

Fedmm: Federated Multi-Modal Learning with Modality Heterogeneity in Computational Pathology.

Yuanzhe Peng, Jieming Bian, Jie Xu

Proceedings of the IEEE International Conference on Acoustics, 2024

CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers✱.

Jieming Bian, Lei Wang, Shaolei Ren, Jie Xu

Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 2024

2023

CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers.

Jieming Bian, Shaolei Ren, Jie Xu

CoRR, 2023

Joint Client Assignment and UAV Route Planning for Indirect-Communication Federated Learning.

Jieming Bian, Cong Shen, Jie Xu

CoRR, 2023

Client Clustering for Energy-Efficient Clustered Federated Learning in Wireless Networks.

Jieming Bian, Jie Xu

Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023

Federated Learning via Indirect Server-Client Communications.

Jieming Bian, Cong Shen, Jie Xu

Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

Mobility-Assisted Federated Learning for Vehicular Edge Computing.

Jieming Bian, Jie Xu

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Mobility Improves the Convergence of Asynchronous Federated Learning.

Jieming Bian, Jie Xu

CoRR, 2022

2021

FedSEAL: Semi-Supervised Federated Learning with Self-Ensemble Learning and Negative Learning.

Jieming Bian, Zhu Fu, Jie Xu

CoRR, 2021