Fengda Zhang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Evaluation Framework

Partial Discharge

Top Venues

Frontiers Inf. Technol. Electron. Eng.

Publications

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 (2024)
Fengda Zhang, Zitao Shuai, Kun Kuang, Fei Wu, Yueting Zhuang, Jun Xiao
Unified fair federated learning for digital healthcare. Patterns 5 (1) (2024)
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) (2023)
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) (2023)
Yuxuan Liu, Kun Kuang, Fengda Zhang, Fei Wu
FairDR: Ensuring Fairness in Mixed Data of Fairly and Unfairly Treated Instances. CICAI (2) (2023)
Fengda Zhang, Kun Kuang, Long Chen, Yuxuan Liu, Chao Wu, Jun Xiao
Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes. ICLR (2023)
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) (2023)
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)
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 (2021)
Fengda Zhang, Kun Kuang, Yuxuan Liu, Chao Wu, Fei Wu, Jiaxun Lu, Yunfeng Shao, Jun Xiao
Unified Group Fairness on Federated Learning. CoRR (2021)
Fengda Zhang, Kun Kuang, Zhaoyang You, Tao Shen, Jun Xiao, Yin Zhang, Chao Wu, Yueting Zhuang, Xiaolin Li
Federated Unsupervised Representation Learning. CoRR (2020)
Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Gang Huang, Pan Zhou, Fei Wu, Chao Wu
Federated Mutual Learning. CoRR (2020)
Lifeng Liu, Fengda Zhang, Jun Xiao, Chao Wu
Evaluation Framework For Large-scale Federated Learning. CoRR (2020)
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)
Chao Wu, Fengda Zhang, Fei Wu
Distributed Modelling Approaches for Data Privacy Preserving. BigMM (2019)