Jieming Bian
Orcid: 0000-0002-6372-6357
According to our database1,
Jieming Bian
authored at least 20 papers
between 2021 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2021
2022
2023
2024
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
IEEE Internet Things J., November, 2024
Accelerating Asynchronous Federated Learning Convergence via Opportunistic Mobile Relaying.
IEEE Trans. Veh. Technol., July, 2024
IEEE Internet Things J., March, 2024
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
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
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024
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
Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 2024
2023
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
Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
2022
2021
FedSEAL: Semi-Supervised Federated Learning with Self-Ensemble Learning and Negative Learning.
CoRR, 2021