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Do Gradient Inversion Attacks Make Federated Learning Unsafe?

NVIDIA researchers published a study in IEEE Transactions of Medical Imaging investigating whether gradient inversion attacks compromise federated learning safety, finding that such attacks can reconstruct training data from shared gradients, posing privacy risks in medical imaging applications.

read1 min views1 publishedJun 15, 2026

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Prerna Dogra (NVIDIA)
Andrew Feng (NVIDIA)
Mona G Flores (NVIDIA)

Jan Kautz Daguang Xu Holger Roth Publication Date Tuesday, January 24, 2023 Published in IEEE Transactions of Medical Imaging Research Area Medical

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