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        AUTHOR = "Li, Y.L. and Sani, A.S. and Yuan, D. and Bao, W.",
        TITLE = "Enhancing Federated Learning Robustness Through Clustering Non-iid
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        BOOKTITLE = "ACCVWS22",
        YEAR = "2022",
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@inproceedings{bb136801,
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@inproceedings{bb136802,
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        TITLE = "Learning Across Domains and Devices: Style-Driven Source-Free Domain
Adaptation in Clustered Federated Learning",
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        YEAR = "2023",
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@inproceedings{bb136803,
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        TITLE = "Enhancing Robustness in Federated Learning by Supervised Anomaly
Detection",
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@inproceedings{bb136804,
        AUTHOR = "Kundalwal, M.K. and Saraswat, A. and Mishra, I. and Mishra, D.",
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@inproceedings{bb136805,
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        TITLE = "Speeding up Heterogeneous Federated Learning with Sequentially
Trained Superclients",
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@inproceedings{bb136806,
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@inproceedings{bb136807,
        AUTHOR = "Varno, F. and Saghayi, M. and Sevyeri, L.R. and Gupta, S. and Matwin, S. and Havaei, M.",
        TITLE = "AdaBest: Minimizing Client Drift in Federated Learning via Adaptive
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@inproceedings{bb136808,
        AUTHOR = "Mugunthan, V. and Lin, E. and Gokul, V. and Lau, C. and Kagal, L. and Pieper, S.",
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@inproceedings{bb136809,
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        TITLE = "SphereFed: Hyperspherical Federated Learning",
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@inproceedings{bb136810,
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@inproceedings{bb136811,
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@inproceedings{bb136812,
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@inproceedings{bb136814,
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@inproceedings{bb136816,
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@inproceedings{bb136820,
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