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FedX: Unsupervised Federated Learning with Cross Knowledge Distillation.

S. Han, S. Park, F. Wu, S. Kim, C. Wu, X. Xie, и M. Cha. ECCV (30), том 13690 из Lecture Notes in Computer Science, стр. 691-707. Springer, (2022)

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Jinglan Wu

Recovery of citric acid from fermentation broth using simulated moving bed technology: = Reinigung von Zitronensäure aus Fermentationslösung durch kontinuierliche ChromatographieJ. Wu. Uni Erlangen-Nürnberg, (2009)

Yinghua Wu

Changzhu Wu

Jinjin Wu

Haiyan Wu

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Hierarchical User and Item Representation with Three-Tier Attention for Recommendation.C. Wu, F. Wu, J. Liu, и Y. Huang. NAACL-HLT (1), стр. 1818-1826. Association for Computational Linguistics, (2019)Fairness-aware News Recommendation with Decomposed Adversarial Learning.C. Wu, F. Wu, X. Wang, Y. Huang, и X. Xie. AAAI, стр. 4462-4469. AAAI Press, (2021)A Token-wise Graph-based Framework for Multimodal Named Entity Recognition.Z. Zhang, W. Mai, H. Xiong, C. Wu, и Y. Xue. ICME, стр. 2153-2158. IEEE, (2023)Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving.T. Qi, F. Wu, C. Wu, Y. Huang, и X. Xie. EMNLP (Findings), стр. 1438-1448. Association for Computational Linguistics, (2021)Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation.Y. Yu, F. Wu, C. Wu, J. Yi, и Q. Liu. EMNLP, стр. 5478-5489. Association for Computational Linguistics, (2022)FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning.T. Qi, F. Wu, C. Wu, L. Lyu, T. Xu, H. Liao, Z. Yang, Y. Huang, и X. Xie. NeurIPS, (2022)Privacy-Preserving News Recommendation Model Training via Federated Learning.T. Qi, F. Wu, C. Wu, Y. Huang, и X. Xie. CoRR, (2020)Rethinking InfoNCE: How Many Negative Samples Do You Need?C. Wu, F. Wu, и Y. Huang. CoRR, (2021)Neural Chinese Word Segmentation with Dictionary Knowledge.J. Liu, F. Wu, C. Wu, Y. Huang, и X. Xie. NLPCC (2), том 11109 из Lecture Notes in Computer Science, стр. 80-91. Springer, (2018)FedX: Unsupervised Federated Learning with Cross Knowledge Distillation.S. Han, S. Park, F. Wu, S. Kim, C. Wu, X. Xie, и M. Cha. ECCV (30), том 13690 из Lecture Notes in Computer Science, стр. 691-707. Springer, (2022)

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