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Fengda Zhang
Fengda Zhang
Zhejiang University, Nanyang Technological University
Verified email at zju.edu.cn
Title
Cited by
Cited by
Year
Federated unsupervised representation learning
F Zhang, K Kuang, Z You, T Shen, J Xiao, Y Zhang, C Wu, Y Zhuang, X Li
Frontiers of Information Technology & Electronic Engineering (FITEE), 2023, 2023
1082023
Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives
T Shen, J Zhang, X Jia, F Zhang, Z Lv, K Kuang, C Wu, F Wu
Frontiers of Information Technology & Electronic Engineering (FITEE), 2023, 2023
97*2023
Edge-cloud polarization and collaboration: A comprehensive survey for ai
J Yao, S Zhang, Y Yao, F Wang, J Ma, J Zhang, Y Chu, L Ji, K Jia, T Shen, ...
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022, 2022
502022
Unified group fairness on federated learning
F Zhang, K Kuang, Y Liu, L Chen, C Wu, F Wu, J Lu, Y Shao, J Xiao
arXiv preprint, 2021, 2021
192021
Fairness-aware contrastive learning with partially annotated sensitive attributes
F Zhang, K Kuang, L Chen, Y Liu, C Wu, J Xiao
The Eleventh International Conference on Learning Representations (ICLR), 2023, 2022
172022
Evaluation framework for large-scale federated learning
L Liu, F Zhang, J Xiao, C Wu
arXiv preprint, 2020, 2020
122020
Distributed modelling approaches for data privacy preserving
C Wu, F Zhang, F Wu
IEEE International Conference on Multimedia Big Data (BigMM), 2019, 2019
102019
Federated mutual learning. arXiv 2020
T Shen, J Zhang, X Jia, F Zhang, G Huang, P Zhou, K Kuang, F Wu, C Wu
arXiv preprint arXiv:2006.16765, 2020
52020
Towards multi-level fairness and robustness on federated learning
F Zhang, K Kuang, Y Liu, L Chen, J Lu, F Wu, C Wu, J Xiao
International Conference on Machine Learning (ICML), 2022, 2022
32022
Training encrypted models with privacy-preserved data on blockchain
L Liu, Y Hu, J Yu, F Zhang, G Huang, J Xiao, C Wu
International Conference on Vision, Image and Signal Processing (ICVISP), 2019, 2019
32019
Unified Fair Federated Learning for Digital Healthcare
F Zhang, Z Shuai, K Kuang, F Wu, Y Zhuang, J Xiao
Cell Press Patterns, 2024, 2023
22023
Distributionally Generative Augmentation for Fair Facial Attribute Classification
F Zhang, Q He, K Kuang, J Liu, L Chen, C Wu, J Xiao, H Zhang
Computer Vision and Pattern Recognition (CVPR), 2024, 2024
2024
FairDR: Ensuring Fairness in Mixed Data of Fairly and Unfairly Treated Instances
Y Liu, K Kuang, F Zhang, F Wu
CAAI International Conference on Artificial Intelligence (CICAI), 2023, 2023
2023
FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning
T Shen, Z Li, Y Li, Z Zhao, F Zhang, S Zhang, K Kuang, C Wu, F Wu
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Articles 1–14