Minxue Tang

发表

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

Yiran Chen, H. Li, Amin Hassanzadeh, 2022, ArXiv.

Towards collaborative intelligence: routability estimation based on decentralized private data

Zhiyao Xie, Ang Li, Chen-Chia Chang, 2022, DAC.

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

Yiran Chen, H. Li, Chang Chen, 2022, ArXiv.

Next Generation Federated Learning for Edge Devices: An Overview

Hai Helen Li, Yiran Chen, Ang Li, 2022, 2022 IEEE 8th International Conference on Collaboration and Internet Computing (CIC).

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

Yiran Chen, Yu Wang, Xuefei Ning, 2021, ArXiv.

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

Ang Li, Feng Yan, Huanrui Yang, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

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

Yiran Chen, H. Li, Yu Wang, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

Yu Wang, Xuefei Ning, Yitu Wang, 2021 .

FADE: Enabling Federated Adversarial Training on Heterogeneous Resource-Constrained Edge Devices

H. Li, Amin Hassanzadeh, Mingyuan Ma, 2022, 2209.03839.

Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards

Siyuan Li, Rui Wang, Chongjie Zhang, 2019, NeurIPS.

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

Yiran Chen, Ang Li, Minxue Tang, 2022, 2022 23rd International Symposium on Quality Electronic Design (ISQED).