Minxue Tang
According to our database1,
Minxue Tang
authored at least 10 papers
between 2019 and 2024.
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Bibliography
2024
Proceedings of the 33rd USENIX Security Symposium, 2024
2023
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction.
Proceedings of the International Conference on Machine Learning, 2023
2022
FADE: Enabling Large-Scale Federated Adversarial Training on Resource-Constrained Edge Devices.
CoRR, 2022
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022
Towards collaborative intelligence: routability estimation based on decentralized private data.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the 8th IEEE International Conference on Collaboration and Internet Computing, 2022
2021
FedGP: Correlation-Based Active Client Selection for Heterogeneous Federated Learning.
CoRR, 2021
2020
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019