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Jieming Bian
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2020 – today
- 2024
- [j3]Heqiang Wang, Jieming Bian, Jie Xu:
On the Local Cache Update Rules in Streaming Federated Learning. IEEE Internet Things J. 11(6): 10808-10816 (2024) - [j2]Jieming Bian, Lei Wang, Kun Yang, Cong Shen, Jie Xu:
Accelerating Hybrid Federated Learning Convergence Under Partial Participation. IEEE Trans. Signal Process. 72: 3258-3271 (2024) - [j1]Jieming Bian, Jie Xu:
Accelerating Asynchronous Federated Learning Convergence via Opportunistic Mobile Relaying. IEEE Trans. Veh. Technol. 73(7): 10668-10680 (2024) - [c5]Yuanzhe Peng, Jieming Bian, Jie Xu:
Fedmm: Federated Multi-Modal Learning with Modality Heterogeneity in Computational Pathology. ICASSP 2024: 1696-1700 - [c4]Lei Wang, Jieming Bian, Jie Xu:
Federated Learning with Instance-Dependent Noisy Label. ICASSP 2024: 8916-8920 - [i11]Yuanzhe Peng, Jieming Bian, Jie Xu:
FedMM: Federated Multi-Modal Learning with Modality Heterogeneity in Computational Pathology. CoRR abs/2402.15858 (2024) - [i10]Lei Wang, Jieming Bian, Letian Zhang, Chen Chen, Jie Xu:
Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains. CoRR abs/2403.09048 (2024) - [i9]Heqiang Wang, Jieming Bian, Lei Wang:
Computation and Communication Efficient Lightweighting Vertical Federated Learning. CoRR abs/2404.00466 (2024) - 2023
- [c3]Jieming Bian, Jie Xu:
Mobility-Assisted Federated Learning for Vehicular Edge Computing. ACSSC 2023: 289-293 - [c2]Jieming Bian, Cong Shen, Jie Xu:
Federated Learning via Indirect Server-Client Communications. CISS 2023: 1-5 - [c1]Jieming Bian, Jie Xu:
Client Clustering for Energy-Efficient Clustered Federated Learning in Wireless Networks. UbiComp/ISWC Adjunct 2023: 718-723 - [i8]Jieming Bian, Cong Shen, Jie Xu:
Federated Learning via Indirect Server-Client Communications. CoRR abs/2302.07323 (2023) - [i7]Heqiang Wang, Jieming Bian, Jie Xu:
On the Local Cache Update Rules in Streaming Federated Learning. CoRR abs/2303.16340 (2023) - [i6]Jieming Bian, Lei Wang, Kun Yang, Cong Shen, Jie Xu:
Accelerating Hybrid Federated Learning Convergence under Partial Participation. CoRR abs/2304.05397 (2023) - [i5]Jieming Bian, Cong Shen, Jie Xu:
Joint Client Assignment and UAV Route Planning for Indirect-Communication Federated Learning. CoRR abs/2304.10744 (2023) - [i4]Jieming Bian, Shaolei Ren, Jie Xu:
CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers. CoRR abs/2311.03615 (2023) - [i3]Lei Wang, Jieming Bian, Jie Xu:
Federated Learning with Instance-Dependent Noisy Label. CoRR abs/2312.10324 (2023) - 2022
- [i2]Jieming Bian, Jie Xu:
Mobility Improves the Convergence of Asynchronous Federated Learning. CoRR abs/2206.04742 (2022) - 2021
- [i1]Jieming Bian, Zhu Fu, Jie Xu:
FedSEAL: Semi-Supervised Federated Learning with Self-Ensemble Learning and Negative Learning. CoRR abs/2110.07829 (2021)
Coauthor Index
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