Minxue Tang

According to our database, Minxue Tang authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FedProphet: Memory-Efficient Federated Adversarial Training via Theoretic-Robustness and Low-Inconsistency Cascade Learning.

Minxue Tang, Yitu Wang, Jingyang Zhang, Louis DiValentin, Aolin Ding, Amin Hass, Yiran Chen, Hai (Helen) Li

CoRR, 2024

ModelGuard: Information-Theoretic Defense Against Model Extraction Attacks.

Minxue Tang, Anna Dai, Louis DiValentin, Aolin Ding, Amin Hass, Neil Zhenqiang Gong, Yiran Chen, Hai (Helen) Li

Proceedings of the 33rd USENIX Security Symposium, 2024

Embracing Privacy, Robustness, and Efficiency with Trustworthy Federated Learning on Edge Devices.

Minxue Tang, Jingwei Sun, Hai Helen Li, Yiran Chen

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

2023

Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction.

Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li

Proceedings of the International Conference on Machine Learning, 2023

2022

FADE: Enabling Large-Scale Federated Adversarial Training on Resource-Constrained Edge Devices.

Minxue Tang, Jianyi Zhang, Mingyuan Ma, Louis DiValentin, Aolin Ding, Amin Hassanzadeh, Hai Helen Li, Yiran Chen

CoRR, 2022

An Audio Frequency Unfolding Framework for Ultra-Low Sampling Rate Sensors.

Zhihui Gao, Minxue Tang, Ang Li, Yiran Chen

Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

Towards collaborative intelligence: routability estimation based on decentralized private data.

Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Ang Li, Minxue Tang, Tunhou Zhang, Jiang Hu, Yiran Chen

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning.

Minxue Tang, Xuefei Ning, Yitu Wang, Jingwei Sun, Yu Wang, Hai Helen Li, Yiran Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Next Generation Federated Learning for Edge Devices: An Overview.

Jianyi Zhang, Zhixu Du, Jingwei Sun, Ang Li, Minxue Tang, Yuhao Wu, Zhihui Gao, Martin Kuo, Hai Helen Li, Yiran Chen

Proceedings of the 8th IEEE International Conference on Collaboration and Internet Computing, 2022

2021

FedGP: Correlation-Based Active Client Selection for Heterogeneous Federated Learning.

Minxue Tang, Xuefei Ning, Yitu Wang, Yu Wang, Yiran Chen

CoRR, 2021

2020

Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification.

Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards.

Siyuan Li, Rui Wang, Minxue Tang, Chongjie Zhang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019