| Self-balancing federated learning with global imbalanced data in mobile systems M Duan, D Liu, X Chen, R Liu, Y Tan, L Liang IEEE Transactions on Parallel and Distributed Systems 32 (1), 59-71, 2020 | 297 | 2020 |
| Astraea: Self-balancing federated learning for improving classification accuracy of mobile deep learning applications M Duan, D Liu, X Chen, Y Tan, J Ren, L Qiao, L Liang 2019 IEEE 37th international conference on computer design (ICCD), 246-254, 2019 | 228 | 2019 |
| Fedgroup: Efficient federated learning via decomposed similarity-based clustering M Duan, D Liu, X Ji, R Liu, L Liang, X Chen, Y Tan 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2021 | 89* | 2021 |
| Flexible clustered federated learning for client-level data distribution shift M Duan, D Liu, X Ji, Y Wu, L Liang, X Chen, Y Tan, A Ren IEEE Transactions on Parallel and Distributed Systems 33 (11), 2661-2674, 2021 | 67 | 2021 |
| CSAFL: A clustered semi-asynchronous federated learning framework Y Zhang, M Duan, D Liu, L Li, A Ren, X Chen, Y Tan, C Wang 2021 International Joint Conference on Neural Networks (IJCNN), 1-10, 2021 | 39 | 2021 |
| FedSAE: A novel self-adaptive federated learning framework in heterogeneous systems L Li, M Duan, D Liu, Y Zhang, A Ren, X Chen, Y Tan, C Wang 2021 International Joint Conference on Neural Networks (IJCNN), 1-10, 2021 | 39 | 2021 |
| FitCNN: A cloud-assisted and low-cost framework for updating CNNs on IoT devices D Liu, C Yang, S Li, X Chen, J Ren, R Liu, M Duan, Y Tan, L Liang Future generation computer systems 91, 277-289, 2019 | 20 | 2019 |
| Archivist: A machine learning assisted data placement mechanism for hybrid storage systems J Ren, X Chen, Y Tan, D Liu, M Duan, L Liang, L Qiao 2019 IEEE 37th International Conference on Computer Design (ICCD), 676-679, 2019 | 13 | 2019 |
| FedMDS: An efficient model discrepancy-aware semi-asynchronous clustered federated learning framework Y Zhang, D Liu, M Duan, L Li, X Chen, A Ren, Y Tan, C Wang IEEE Transactions on Parallel and Distributed Systems 34 (3), 1007-1019, 2023 | 12 | 2023 |
| Federated learning with workload-aware client scheduling in heterogeneous systems L Li, D Liu, M Duan, Y Zhang, A Ren, X Chen, Y Tan, C Wang Neural Networks 154, 560-573, 2022 | 12 | 2022 |
| TaiJiNet: Towards partial binarized convolutional neural network for embedded systems Y Ling, K Zhong, Y Wu, D Liu, J Ren, R Liu, M Duan, W Liu, L Liang 2018 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 136-141, 2018 | 10 | 2018 |
| A machine learning assisted data placement mechanism for hybrid storage systems J Ren, X Chen, D Liu, Y Tan, M Duan, R Li, L Liang Journal of Systems Architecture 120, 102295, 2021 | 8 | 2021 |
| Data-Free Diversity-Based Ensemble Selection for One-Shot Federated Learning N Wang, W Feng, M Duan, F Liu, SK Ng Transactions on Machine Learning Research, 2023 | 4* | 2023 |
| LFPR: A lazy fast predictive repair strategy for mobile distributed erasure coded cluster Y Wu, D Liu, Y Tan, M Duan, L Luo, W Wang, X Chen IEEE Internet of Things Journal 10 (1), 704-719, 2022 | 4 | 2022 |
| Lazy repair with temporary redundancy (LRTR) reducing repair network traffic in erasure-coded storage L Luo, Y Tan, D Liu, M Duan, W Wang, Y Wu, X Chen Proceedings of the 19th ACM International Conference on Computing Frontiers …, 2022 | 2 | 2022 |
| Reducing write amplification for inodes of journaling file system using persistent memory C Yang, D Liu, X Chen, R Zhang, W Wang, M Duan, Y Tan 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 866-871, 2019 | 2 | 2019 |
| Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives M Duan arXiv preprint arXiv:2307.02140, 2023 | 1 | 2023 |
| Forseti: An Efficient Basic-block-level Sensitivity Analysis Framework Towards Multi-bit Faults J Ren, X Chen, D Liu, M Duan, R Liu, C Wang 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 94-97, 2021 | | 2021 |
Duo LiuChongqing UniversityVerified email at cqu.edu.cn
