CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers J Bian, L Wang, S Ren, J Xu The 15th ACM International Conference on Future and Sustainable Energy …, 2024 | 14 | 2024 |
Federated Learning with Instance-Dependent Noisy Label L Wang, J Bian, J Xu ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 14 | 2024 |
Accelerating Hybrid Federated Learning Convergence Under Partial Participation J Bian, L Wang, K Yang, C Shen, J Xu IEEE Transactions on Signal Processing, 2024 | 10 | 2024 |
Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains L Wang*, J Bian*, L Zhang, C Chen, J Xu accepted by NeurIPS 2024, 2024 | 4 | 2024 |
Prioritizing modalities: Flexible importance scheduling in federated multimodal learning J Bian, L Wang, J Xu arXiv preprint arXiv:2408.06549, 2024 | 3 | 2024 |
Adaptive User-Centric Entanglement Routing in Quantum Data Networks L Wang, J Bian, J Xu accepted by 44th IEEE International Conference on Distributed Computing …, 2024 | 1 | 2024 |
Quantum Entanglement Path Selection and Qubit Allocation via Adversarial Group Neural Bandits Y Huang*, L Wang*, J Xu IEEE/ACM Transactions on Networking, 2024 | | 2024 |
LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement J Bian*, L Wang*, L Zhang, J Xu arXiv preprint arXiv:2411.14961, 2024 | | 2024 |