Ahmed Harouni

Ahmed Harouni is a Deep Learning Solutions Architect for medical imaging at NVIDIA. Ahmed received his PhD in Electrical and Computer Engineering from Johns Hopkins University focusing on MR image acquisition and image processing. Recently he has been using deep-learning for image segmentation, registration, disease classification and localization.
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Posts by Ahmed Harouni

Data Center / Cloud

Federated Learning with Homomorphic Encryption

In NVIDIA Clara Train 4.0, we added homomorphic encryption (HE) tools for federated learning (FL). HE enables you to compute data while the data is still... 5 MIN READ