Fengda Zhang

According to our database, Fengda Zhang authored at least 17 papers between 2019 and 2024.

Collaborative distances:

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

2024

Unified fair federated learning for digital healthcare.

Fengda Zhang, Zitao Shuai, Kun Kuang, Fei Wu, Yueting Zhuang, Jun Xiao

Patterns, January, 2024

Recognition of short-circuit discharge sounds in transmission lines based on hybrid voiceprint features.

Wenjie Zheng, Fengda Zhang, Xiaobin Sun, Haijie Tan, Chengqi Li

Proceedings of the 6th International Conference on Internet of Things, 2024

Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning.

Jiahui Li, Hanlin Zhang, Fengda Zhang, Tai-Wei Chang, Kun Kuang, Long Chen, Jun Zhou

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Distributionally Generative Augmentation for Fair Facial Attribute Classification.

Fengda Zhang, Qianpei He, Kun Kuang, Jiashuo Liu, Long Chen, Chao Wu, Jun Xiao, Hanwang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives.

Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Zheqi Lv, Kun Kuang, Chao Wu, Fei Wu

Frontiers Inf. Technol. Electron. Eng., October, 2023

Federated unsupervised representation learning.

Fengda Zhang, Kun Kuang, Long Chen, Zhaoyang You, Tao Shen, Jun Xiao, Yin Zhang, Chao Wu, Fei Wu, Yueting Zhuang, Xiaolin Li

Frontiers Inf. Technol. Electron. Eng., August, 2023

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI.

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

IEEE Trans. Knowl. Data Eng., July, 2023

Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes.

Fengda Zhang, Kun Kuang, Long Chen, Yuxuan Liu, Chao Wu, Jun Xiao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

FairDR: Ensuring Fairness in Mixed Data of Fairly and Unfairly Treated Instances.

Yuxuan Liu, Kun Kuang, Fengda Zhang, Fei Wu

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

2022

Recognition of Transformer High Frequency Partial Discharge Based on Time Domain Feature.

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

Proceedings of the 24th International Conference on Advanced Communication Technology, 2022

2021

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey.

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

CoRR, 2021

Unified Group Fairness on Federated Learning.

Fengda Zhang, Kun Kuang, Yuxuan Liu, Chao Wu, Fei Wu, Jiaxun Lu, Yunfeng Shao, Jun Xiao

CoRR, 2021

2020

Federated Unsupervised Representation Learning.

Fengda Zhang, Kun Kuang, Zhaoyang You, Tao Shen, Jun Xiao, Yin Zhang, Chao Wu, Yueting Zhuang, Xiaolin Li

CoRR, 2020

Federated Mutual Learning.

Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Gang Huang, Pan Zhou, Fei Wu, Chao Wu

CoRR, 2020

Evaluation Framework For Large-scale Federated Learning.

Lifeng Liu, Fengda Zhang, Jun Xiao, Chao Wu

CoRR, 2020

2019

Training Encrypted Models with Privacy-preserved Data on Blockchain.

Lifeng Liu, Yifan Hu, Jiawei Yu, Fengda Zhang, Gang Huang, Jun Xiao, Chao Wu

Proceedings of the ICVISP 2019: 3rd International Conference on Vision, 2019

Distributed Modelling Approaches for Data Privacy Preserving.

Chao Wu, Fengda Zhang, Fei Wu

Proceedings of the Fifth IEEE International Conference on Multimedia Big Data, 2019