SD-CSFL : A Synthetic Data-Driven Conformity Scoring Framework for Robust Federated Learning

Alharbi, Ebtisaam and Kerim, Abdulrahman and Soriano Marcolino, Leandro and Ni, Qiang (2025) SD-CSFL : A Synthetic Data-Driven Conformity Scoring Framework for Robust Federated Learning. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision 2026 (WACV 2026) :. IEEE. (In Press)

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Item Type:
Contribution in Book/Report/Proceedings
Uncontrolled Keywords:
Research Output Funding/no_not_funded
Subjects:
?? no - not funded ??
ID Code:
234273
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Deposited On:
17 Dec 2025 15:05
Refereed?:
Yes
Published?:
In Press
Last Modified:
17 Dec 2025 15:05