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@inproceedings{bb143505,
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@inproceedings{bb143506,
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@inproceedings{bb143507,
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@inproceedings{bb143508,
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@inproceedings{bb143511,
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@inproceedings{bb143512,
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@inproceedings{bb143540,
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        TITLE = "Robust Federated Learning with Noisy and Heterogeneous Clients",
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@article{bb143541,
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@inproceedings{bb143552,
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@inproceedings{bb143555,
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        PAGES = "24387-24397",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern608fepr5.html#TT139503"}

@inproceedings{bb143556,
        AUTHOR = "Zhu, G.X. and Li, D.H. and Gu, H.L. and Yao, Y. and Fan, L.X. and Han, Y.X.",
        TITLE = "FedMIA: An Effective Membership Inference Attack Exploiting 'All for
One' Principle in Federated Learning",
        BOOKTITLE = CVPR25,
        YEAR = "2025",
        PAGES = "20643-20653",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern608fepr5.html#TT139504"}

@inproceedings{bb143557,
        AUTHOR = "Tan, Z. and Wan, G.C. and Huang, W.K. and Li, H. and Zhang, G. and Yang, C. and Ye, M.",
        TITLE = "FedSPA : Generalizable Federated Graph Learning under Homophily
Heterogeneity",
        BOOKTITLE = CVPR25,
        YEAR = "2025",
        PAGES = "15464-15475",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern608fepr5.html#TT139505"}

@inproceedings{bb143558,
        AUTHOR = "Xie, L. and Luan, T.Y. and Cai, W.Y. and Yan, G. and Chen, Z.Y. and Xi, N. and Fang, Y.J. and Shen, Q. and Wu, Z.H. and Yuan, J.S.",
        TITLE = "dFLMoE: Decentralized Federated Learning via Mixture of Experts for
Medical Data Analysis",
        BOOKTITLE = CVPR25,
        YEAR = "2025",
        PAGES = "10203-10213",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern608fepr5.html#TT139506"}

@inproceedings{bb143559,
        AUTHOR = "Ma, Y.B. and Dai, W. and Huang, W.K. and Chen, J.Y.",
        TITLE = "Geometric Knowledge-Guided Localized Global Distribution Alignment
for Federated Learning",
        BOOKTITLE = CVPR25,
        YEAR = "2025",
        PAGES = "20958-20968",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern608fepr5.html#TT139507"}

@inproceedings{bb143560,
        AUTHOR = "Shi, C.L. and Zhao, H. and Zhang, B.J. and Zhou, M.Y. and Guo, D.D. and Chang, Y.",
        TITLE = "FedAWA: Adaptive Optimization of Aggregation Weights in Federated
Learning Using Client Vectors",
        BOOKTITLE = CVPR25,
        YEAR = "2025",
        PAGES = "30651-30660",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern608fepr5.html#TT139508"}

@inproceedings{bb143561,
        AUTHOR = "Chen, H. and Li, H. and Zhang, Y. and Bi, J. and Zhang, G. and Zhang, Y. and Torr, P. and Gu, J.D. and Krompass, D. and Tresp, V.",
        TITLE = "FedBiP: Heterogeneous One-Shot Federated Learning with Personalized
Latent Diffusion Models",
        BOOKTITLE = CVPR25,
        YEAR = "2025",
        PAGES = "30440-30450",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern608fepr5.html#TT139509"}

@inproceedings{bb143562,
        AUTHOR = "Khalil, Y.H. and Brunswic, L. and Lamghari, S. and Li, X. and Beitollahi, M. and Chen, X.",
        TITLE = "NoT: Federated Unlearning via Weight Negation",
        BOOKTITLE = CVPR25,
        YEAR = "2025",
        PAGES = "25759-25769",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern608fepr5.html#TT139510"}

@inproceedings{bb143563,
        AUTHOR = "Yan, Y.L. and Fu, H.Z. and Li, Y.X. and Xie, J.H. and Ma, J. and Yang, G. and Zhu, L.",
        TITLE = "A Simple Data Augmentation for Feature Distribution Skewed Federated
Learning",
        BOOKTITLE = CVPR25,
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        PAGES = "25749-25758",
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@inproceedings{bb143564,
        AUTHOR = "Caldarola, D. and Cagnasso, P. and Caputo, B. and Ciccone, M.",
        TITLE = "Beyond Local Sharpness: Communication-Efficient Global
Sharpness-aware Minimization for Federated Learning",
        BOOKTITLE = CVPR25,
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@inproceedings{bb143565,
        AUTHOR = "Mendieta, M. and Sun, G.Y. and Chen, C.",
        TITLE = "Navigating Heterogeneity and Privacy in One-Shot Federated Learning
with Diffusion Models",
        BOOKTITLE = WACV25,
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@inproceedings{bb143566,
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        TITLE = "Privacy-Preserving Collaboration for Multi-Organ Segmentation via
Federated Learning from Sites with Partial Labels",
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@inproceedings{bb143567,
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        TITLE = "On the Efficiency of Privacy Attacks in Federated Learning",
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@inproceedings{bb143568,
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        TITLE = "Federated Learning with a Single Shared Image",
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@inproceedings{bb143569,
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        TITLE = "FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in
Federated Learning",
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@inproceedings{bb143570,
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        TITLE = "Perada: Parameter-Efficient Federated Learning Personalization with
Generalization Guarantees",
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@inproceedings{bb143571,
        AUTHOR = "Tran, M.T. and Le, T. and Le, X.M. and Harandi, M. and Phung, D.",
        TITLE = "Text-Enhanced Data-Free Approach for Federated Class-Incremental
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@inproceedings{bb143572,
        AUTHOR = "Li, W.Q. and Fu, S. and Zhang, F. and Pang, Y.",
        TITLE = "Data Valuation and Detections in Federated Learning",
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@inproceedings{bb143573,
        AUTHOR = "Zhang, J.Q. and Liu, Y. and Hua, Y. and Cao, J.",
        TITLE = "An Upload-Efficient Scheme for Transferring Knowledge From a
Server-Side Pre-trained Generator to Clients in Heterogeneous
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@inproceedings{bb143574,
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from Federated Learning",
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@inproceedings{bb143577,
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@inproceedings{bb143579,
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@inproceedings{bb143580,
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        AUTHOR = "Ma, X.S. and Zhang, J. and Guo, S. and Xu, W.C.",
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@inproceedings{bb143584,
        AUTHOR = "Tang, M.X. and Ning, X.F. and Wang, Y. and Sun, J.W. and Wang, Y. and Li, H. and Chen, Y.R.",
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@inproceedings{bb143585,
        AUTHOR = "Gao, L. and Fu, H.Z. and Li, L. and Chen, Y. and Xu, M. and Xu, C.Z.",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern608fepr5.html#TT139533"}

@inproceedings{bb143586,
        AUTHOR = "Cheng, A. and Wang, P.S. and Zhang, X.S. and Cheng, J.",
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        AUTHOR = "Li, Z.H. and Zhang, J.X. and Liu, L.Y. and Liu, J.",
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