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ORCIDFengda Zhang
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2020 – today
- 2024
[j4]Fengda Zhang
, Zitao Shuai, Kun Kuang, Fei Wu, Yueting Zhuang, Jun Xiao:
Unified fair federated learning for digital healthcare. Patterns 5(1): 100907 (2024)- [c6]Fengda Zhang, Qianpei He, Kun Kuang, Jiashuo Liu, Long Chen, Chao Wu, Jun Xiao, Hanwang Zhang:
Distributionally Generative Augmentation for Fair Facial Attribute Classification. CVPR 2024: 22797-22808 - [i6]Fengda Zhang, Qianpei He, Kun Kuang, Jiashuo Liu, Long Chen, Chao Wu, Jun Xiao, Hanwang Zhang:
Distributionally Generative Augmentation for Fair Facial Attribute Classification. CoRR abs/2403.06606 (2024) - 2023
- [j3]Fengda Zhang, Kun Kuang, Long Chen, Zhaoyang You, Tao Shen, Jun Xiao, Yin Zhang, Chao Wu, Fei Wu, Yueting Zhuang, Xiaolin Li:
Federated unsupervised representation learning. Frontiers Inf. Technol. Electron. Eng. 24(8): 1181-1193 (2023) - [j2]Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Zheqi Lv, Kun Kuang, Chao Wu, Fei Wu:
Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives. Frontiers Inf. Technol. Electron. Eng. 24(10): 1390-1402 (2023) - [j1]Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang:
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI. IEEE Trans. Knowl. Data Eng. 35(7): 6866-6886 (2023) - [c5]Yuxuan Liu, Kun Kuang, Fengda Zhang, Fei Wu:
FairDR: Ensuring Fairness in Mixed Data of Fairly and Unfairly Treated Instances. CICAI (2) 2023: 3-14 - [c4]Fengda Zhang, Kun Kuang, Long Chen, Yuxuan Liu, Chao Wu, Jun Xiao:
Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes. ICLR 2023 - 2022
- [c3]Meng Liu, Ying Lin, Qingdong Zhu, Junxin Wang, Yi Yang, Chao Gu, Wenbing Zhu, Wenjie Zheng, Demeng Bai, Jiafeng Qin, Jian Wang, Fengda Zhang, Zhuangzhuang Li:
Recognition of Transformer High Frequency Partial Discharge Based on Time Domain Feature. ICACT 2022: 459-463 - 2021
- [i5]Fengda Zhang, Kun Kuang, Yuxuan Liu, Chao Wu, Fei Wu, Jiaxun Lu, Yunfeng Shao, Jun Xiao:
Unified Group Fairness on Federated Learning. CoRR abs/2111.04986 (2021) - [i4]Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang:
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey. CoRR abs/2111.06061 (2021) - 2020
- [i3]Lifeng Liu, Fengda Zhang, Jun Xiao, Chao Wu:
Evaluation Framework For Large-scale Federated Learning. CoRR abs/2003.01575 (2020) - [i2]Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Gang Huang, Pan Zhou, Fei Wu, Chao Wu:
Federated Mutual Learning. CoRR abs/2006.16765 (2020) - [i1]Fengda Zhang, Kun Kuang, Zhaoyang You, Tao Shen, Jun Xiao, Yin Zhang, Chao Wu, Yueting Zhuang, Xiaolin Li:
Federated Unsupervised Representation Learning. CoRR abs/2010.08982 (2020)
2010 – 2019
- 2019
- [c2]Chao Wu, Fengda Zhang, Fei Wu:
Distributed Modelling Approaches for Data Privacy Preserving. BigMM 2019: 357-365 - [c1]Lifeng Liu, Yifan Hu, Jiawei Yu, Fengda Zhang, Gang Huang, Jun Xiao, Chao Wu:
Training Encrypted Models with Privacy-preserved Data on Blockchain. ICVISP 2019: 29:1-29:6
Coauthor Index
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