Titlebook: Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Di; Third MICCAI Worksho Shadi Albarqouni

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Towards More Efficient Data Valuation in Healthcare Federated Learning Using Ensemblings values that are close to exact SVs, and that it performs better than current SV approximations. This is particularly relevant in medical imaging setting where widespread heterogeneity across institutions is rampant and fast accurate data valuation is required to determine the contribution of each

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Conference proceedings 2022 publication. The topics of the accepted submissions focus on deep ultrasound segmentation, portable OCT image quality enhancement, self-attention deep networks and knowledge distillation in low-regime setting..

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The Social Practice of Informationthe participants’ models. We compare the clustering approach with classical FedAvg and centralized training by evaluating our proposed methods on the HAM10k dataset for skin lesion classification with extreme heterogeneous data distribution. Our experiments demonstrate significant performance gain i

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