DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset W Liu, X Zhang, J Duan, C Joe-Wong, Z Zhou, X Chen IEEE Transactions on Mobile Computing, 2023 | 7 | 2023 |
AdaCoOpt: Leverage the interplay of batch size and aggregation frequency for federated learning W Liu, X Zhang, J Duan, C Joe-Wong, Z Zhou, X Chen 2023 IEEE/ACM 31st International Symposium on Quality of Service (IWQoS), 1-10, 2023 | 4 | 2023 |
FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-grained Aggregation Z Zhan, W Zhao, Y Li, W Liu, X Zhang, CW Tan, C Wu, D Guo, X Chen arXiv preprint arXiv:2411.02115, 2024 | 1 | 2024 |
Adaptive Personalized Federated Learning for Non-IID Data with Continual Distribution Shift S Chen, W Liu, X Zhang, H Xu, W Lin, X Chen 2024 IEEE/ACM 32nd International Symposium on Quality of Service (IWQoS), 1-6, 2024 | | 2024 |
FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients ZZ Han Lianga, W Liua, X Zhanga, CW Tanb, X Chena | | 2024 |
Federated Learning at the Edge: An Interplay of Mini-batch Size and Aggregation Frequency W Liu, X Zhang, J Duan, C Joe-Wong, Z Zhou, X Chen IEEE INFOCOM 2023-IEEE Conference on Computer Communications Workshops …, 2023 | | 2023 |