Hierarchical reinforcement learning with advantage-based auxiliary rewards S Li, R Wang, M Tang, C Zhang Advances in Neural Information Processing Systems 32, 2019 | 82 | 2019 |
FedCor: Correlation-based active client selection strategy for heterogeneous federated learning M Tang, X Ning, Y Wang, J Sun, Y Wang, H Li, Y Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 69 | 2022 |
Learning low-rank deep neural networks via singular vector orthogonality regularization and singular value sparsification H Yang, M Tang, W Wen, F Yan, D Hu, A Li, H Li, Y Chen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 66 | 2020 |
Fed-cbs: A heterogeneity-aware client sampling mechanism for federated learning via class-imbalance reduction J Zhang, A Li, M Tang, J Sun, X Chen, F Zhang, C Chen, Y Chen, H Li International Conference on Machine Learning, 41354-41381, 2023 | 21 | 2023 |
Fedgp: Correlation-based active client selection for heterogeneous federated learning M Tang, X Ning, Y Wang, Y Wang, Y Chen arXiv preprint arXiv:2103.13822, 2021 | 21 | 2021 |
Towards collaborative intelligence: Routability estimation based on decentralized private data J Pan, CC Chang, Z Xie, A Li, M Tang, T Zhang, J Hu, Y Chen Proceedings of the 59th ACM/IEEE Design Automation Conference, 961-966, 2022 | 10 | 2022 |
FedGP: Correlation-based active client selection strategy for heterogeneous federated learning M Tang, X Ning, Y Wang, Y Wang, Y Chen arXiv preprint arXiv:2103.13822, 2021 | 7 | 2021 |
FADE: enabling large-scale federated adversarial training on resource-constrained edge devices M Tang, J Zhang, M Ma, L DiValentin, A Ding, A Hassanzadeh, H Li, ... | 5 | 2022 |
Modelguard: Information-theoretic defense against model extraction attacks M Tang, A Dai, L DiValentin, A Ding, A Hass, NZ Gong, Y Chen, H Li 33rd USENIX Security Symposium (Security 2024), 2024 | 4 | 2024 |
Next generation federated learning for edge devices: an overview J Zhang, Z Du, J Sun, A Li, M Tang, Y Wu, Z Gao, M Kuo, HH Li, Y Chen 2022 IEEE 8th International Conference on Collaboration and Internet …, 2022 | 4 | 2022 |
An Audio Frequency Unfolding Framework for Ultra-Low Sampling Rate Sensors Z Gao, M Tang, A Li, Y Chen 2022 23rd International Symposium on Quality Electronic Design (ISQED), 1-6, 2022 | 1 | 2022 |
FADE: Enabling Federated Adversarial Training on Heterogeneous Resource-Constrained Edge Devices M Tang, J Zhang, M Ma, L DiValentin, A Ding, A Hassanzadeh, H Li, ... arXiv preprint arXiv:2209.03839, 2022 | | 2022 |
FedRepre: An Efficient and Scalable Federated Learning Framework with Client Representative Mechanism and Specialized Server Architecture Y Wang, M Tang, H Chen, S Li, Q Zheng, C Guo, A Chang, C Hao, H Li, ... Machine Learning for Computer Architecture and Systems 2024, 0 | | |