Jieming Bian

Orcid: 0000-0002-6372-6357

According to our database1, Jieming Bian authored at least 20 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2021
2022
2023
2024
0
5
10
7
3
1
1
5
3

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Hybrid Federated Learning for Multimodal IoT Systems.
IEEE Internet Things J., November, 2024

Accelerating Asynchronous Federated Learning Convergence via Opportunistic Mobile Relaying.
IEEE Trans. Veh. Technol., July, 2024

On the Local Cache Update Rules in Streaming Federated Learning.
IEEE Internet Things J., March, 2024

Accelerating Hybrid Federated Learning Convergence Under Partial Participation.
IEEE Trans. Signal Process., 2024

LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement.
CoRR, 2024

Prioritizing Modalities: Flexible Importance Scheduling in Federated Multimodal Learning.
CoRR, 2024

Computation and Communication Efficient Lightweighting Vertical Federated Learning.
CoRR, 2024

Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Adaptive User-Centric Entanglement Routing in Quantum Data Networks.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

Federated Learning with Instance-Dependent Noisy Label.
Proceedings of the IEEE International Conference on Acoustics, 2024

Fedmm: Federated Multi-Modal Learning with Modality Heterogeneity in Computational Pathology.
Proceedings of the IEEE International Conference on Acoustics, 2024

CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers✱.
Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 2024

2023
Federated Learning with Instance-Dependent Noisy Label.
CoRR, 2023

CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers.
CoRR, 2023

Joint Client Assignment and UAV Route Planning for Indirect-Communication Federated Learning.
CoRR, 2023

Client Clustering for Energy-Efficient Clustered Federated Learning in Wireless Networks.
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.
Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

Mobility-Assisted Federated Learning for Vehicular Edge Computing.
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.
CoRR, 2022

2021
FedSEAL: Semi-Supervised Federated Learning with Self-Ensemble Learning and Negative Learning.
CoRR, 2021


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