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@inproceedings{bb128561,
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@inproceedings{bb128562,
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        TITLE = "FedPerfix: Towards Partial Model Personalization of Vision
Transformers in Federated Learning",
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@inproceedings{bb128563,
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@inproceedings{bb128564,
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        TITLE = "Robust Heterogeneous Federated Learning under Data Corruption",
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@inproceedings{bb128565,
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Features Compressor for Faster Convergence",
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Information for Personalized Federated Learning",
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@inproceedings{bb128567,
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@inproceedings{bb128568,
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        TITLE = "Generative Gradient Inversion via Over-Parameterized Networks in
Federated Learning",
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@inproceedings{bb128569,
        AUTHOR = "Sun, J.W. and Xu, Z. and Yang, D. and Nath, V. and Li, W.Q. and Zhao, C. and Xu, D. and Chen, Y. and Roth, H.R.",
        TITLE = "Communication-Efficient Vertical Federated Learning with Limited
Overlapping Samples",
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@inproceedings{bb128570,
        AUTHOR = "Kim, H. and Kwak, Y. and Jung, M.Y. and Shin, J.H. and Kim, Y.S. and Kim, C.",
        TITLE = "ProtoFL: Unsupervised Federated Learning via Prototypical
Distillation",
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@inproceedings{bb128571,
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        TITLE = "L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated
Self-Supervised Visual Representation Learning",
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@inproceedings{bb128572,
        AUTHOR = "Chen, R. and Wan, Q.Y. and Prakash, P. and Zhang, L. and Yuan, X. and Gong, Y.M. and Fu, X. and Pan, M.",
        TITLE = "Workie-Talkie: Accelerating Federated Learning by Overlapping
Computing and Communications via Contrastive Regularization",
        BOOKTITLE = ICCV23,
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@inproceedings{bb128573,
        AUTHOR = "Cho, Y.J. and Joshi, G. and Dimitriadis, D.",
        TITLE = "Local or Global: Selective Knowledge Assimilation for Federated
Learning with Limited Labels",
        BOOKTITLE = ICCV23,
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@inproceedings{bb128574,
        AUTHOR = "Yang, F.E. and Wang, C.Y. and Wang, Y.C.A.F.",
        TITLE = "Efficient Model Personalization in Federated Learning via
Client-Specific Prompt Generation",
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@inproceedings{bb128575,
        AUTHOR = "Xia, H.F. and Li, K. and Ding, Z.M.",
        TITLE = "Personalized Semantics Excitation for Federated Image Classification",
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@inproceedings{bb128576,
        AUTHOR = "Wu, X.H. and Liu, X.F. and Niu, J.W. and Zhu, G.G. and Tang, S.J.",
        TITLE = "Bold but Cautious: Unlocking the Potential of Personalized Federated
Learning through Cautiously Aggressive Collaboration",
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@inproceedings{bb128577,
        AUTHOR = "Hu, E. and Tang, Y.X. and Kyrillidis, A. and Jermaine, C.",
        TITLE = "Federated Learning Over Images: Vertical Decompositions and
Pre-Trained Backbones Are Difficult to Beat",
        BOOKTITLE = ICCV23,
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@inproceedings{bb128578,
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Multigraph Topology",
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@inproceedings{bb128579,
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@inproceedings{bb128580,
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Image Data",
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@inproceedings{bb128583,
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Decentralized Federated Learning",
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@inproceedings{bb128584,
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        JOURNAL = PAMI,
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        YEAR = "2024",
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@article{bb128586,
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@article{bb128587,
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        JOURNAL = IET-CV,
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@inproceedings{bb128589,
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@inproceedings{bb128590,
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@inproceedings{bb128591,
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@inproceedings{bb128593,
        AUTHOR = "Zhang, T. and Gao, L. and Lee, S. and Zhang, M. and Avestimehr, S.",
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Adaptive Partial Training",
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@inproceedings{bb128594,
        AUTHOR = "Ovi, P.R. and Dey, E. and Roy, N. and Gangopadhyay, A.",
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@inproceedings{bb128595,
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@inproceedings{bb128596,
        AUTHOR = "Chen, D.S. and Tan, V.J. and Lu, Z.L. and Wu, E. and Hu, J.",
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@inproceedings{bb128597,
        AUTHOR = "Chen, H. and Vikalo, H.",
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Private Synthetic Data",
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@inproceedings{bb128598,
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@inproceedings{bb128599,
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Expectation Maximization",
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