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Fangzhao Wu

Showing results (1-10 of 7) with videos related to

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Nature Communications|January 8, 2024
Selective knowledge sharing for privacy-preserving federated distillation without a good teacherJiawei Shao, Fangzhao Wu, Jun Zhang
IEEE Transactions on Visualization and Computer Graphics|September 11, 2015
OpinionFlow: Visual Analysis of Opinion Diffusion on Social MediaYingcai Wu, Shixia Liu, Kai Yan, et al.
Nature Communications|April 20, 2022
Communication-efficient federated learning via knowledge distillationChuhan Wu, Fangzhao Wu, Lingjuan Lyu, et al.
Nature Communications|June 2, 2022
A federated graph neural network framework for privacy-preserving personalizationChuhan Wu, Fangzhao Wu, Lingjuan Lyu, et al.
Nature Communications|June 24, 2023
Differentially private knowledge transfer for federated learningTao Qi, Fangzhao Wu, Chuhan Wu, et al.
IEEE Transactions on Neural Networks and Learning Systems|February 7, 2024
A Survey on Federated Recommendation SystemsZehua Sun, Yonghui Xu, Yong Liu, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 18, 2025
Uncovering inequalities in new knowledge learning by large language models across different languagesChenglong Wang, Haoyu Tang, Xiyuan Yang, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Nature Communications|January 8, 2024
Selective knowledge sharing for privacy-preserving federated distillation without a good teacherJiawei Shao, Fangzhao Wu, Jun Zhang
IEEE Transactions on Visualization and Computer Graphics|September 11, 2015
OpinionFlow: Visual Analysis of Opinion Diffusion on Social MediaYingcai Wu, Shixia Liu, Kai Yan, et al.
Nature Communications|April 20, 2022
Communication-efficient federated learning via knowledge distillationChuhan Wu, Fangzhao Wu, Lingjuan Lyu, et al.
Nature Communications|June 2, 2022
A federated graph neural network framework for privacy-preserving personalizationChuhan Wu, Fangzhao Wu, Lingjuan Lyu, et al.
Nature Communications|June 24, 2023
Differentially private knowledge transfer for federated learningTao Qi, Fangzhao Wu, Chuhan Wu, et al.
IEEE Transactions on Neural Networks and Learning Systems|February 7, 2024
A Survey on Federated Recommendation SystemsZehua Sun, Yonghui Xu, Yong Liu, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 18, 2025
Uncovering inequalities in new knowledge learning by large language models across different languagesChenglong Wang, Haoyu Tang, Xiyuan Yang, et al.
Pageof 1