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2020 – today
- 2024
[c9]Minxue Tang, Jingwei Sun, Hai Helen Li, Yiran Chen:
Embracing Privacy, Robustness, and Efficiency with Trustworthy Federated Learning on Edge Devices. ISVLSI 2024: 284-289- [c8]Minxue Tang, Anna Dai, Louis DiValentin, Aolin Ding, Amin Hass, Neil Zhenqiang Gong, Yiran Chen, Hai (Helen) Li:
ModelGuard: Information-Theoretic Defense Against Model Extraction Attacks. USENIX Security Symposium 2024 - [i7]Minxue Tang, Yitu Wang, Jingyang Zhang, Louis DiValentin, Aolin Ding, Amin Hass, Yiran Chen, Hai (Helen) Li:
FedProphet: Memory-Efficient Federated Adversarial Training via Theoretic-Robustness and Low-Inconsistency Cascade Learning. CoRR abs/2409.08372 (2024) - 2023
- [c7]Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li:
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction. ICML 2023: 41354-41381 - 2022
- [c6]Jianyi Zhang, Zhixu Du, Jingwei Sun, Ang Li, Minxue Tang, Yuhao Wu, Zhihui Gao, Martin Kuo, Hai Helen Li, Yiran Chen:
Next Generation Federated Learning for Edge Devices: An Overview. CIC 2022: 10-15 - [c5]Minxue Tang, Xuefei Ning, Yitu Wang, Jingwei Sun, Yu Wang, Hai Helen Li, Yiran Chen:
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning. CVPR 2022: 10092-10101 - [c4]Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Ang Li, Minxue Tang, Tunhou Zhang, Jiang Hu, Yiran Chen:
Towards collaborative intelligence: routability estimation based on decentralized private data. DAC 2022: 961-966 - [c3]Zhihui Gao, Minxue Tang, Ang Li, Yiran Chen:
An Audio Frequency Unfolding Framework for Ultra-Low Sampling Rate Sensors. ISQED 2022: 1-6 - [i6]Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Ang Li, Minxue Tang, Tunhou Zhang, Jiang Hu, Yiran Chen:
Towards Collaborative Intelligence: Routability Estimation based on Decentralized Private Data. CoRR abs/2203.16009 (2022) - [i5]Minxue Tang, Jianyi Zhang, Mingyuan Ma, Louis DiValentin, Aolin Ding, Amin Hassanzadeh, Hai Helen Li, Yiran Chen:
FADE: Enabling Large-Scale Federated Adversarial Training on Resource-Constrained Edge Devices. CoRR abs/2209.03839 (2022) - [i4]Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li:
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction. CoRR abs/2209.15245 (2022) - 2021
- [i3]Minxue Tang, Xuefei Ning, Yitu Wang, Yu Wang, Yiran Chen:
FedGP: Correlation-Based Active Client Selection for Heterogeneous Federated Learning. CoRR abs/2103.13822 (2021) - 2020
- [c2]Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen:
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. CVPR Workshops 2020: 2899-2908 - [i2]Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen:
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. CoRR abs/2004.09031 (2020)
2010 – 2019
- 2019
- [c1]Siyuan Li, Rui Wang, Minxue Tang, Chongjie Zhang:
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards. NeurIPS 2019: 1407-1417 - [i1]Siyuan Li, Rui Wang, Minxue Tang, Chongjie Zhang:
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards. CoRR abs/1910.04450 (2019)
Coauthor Index
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